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Paper Citation Record · LEDGER

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization

As of 20 August 2026, this Paper Citation Record lists 100 of 103 outbound references and 9 inbound Pith citation observations for arXiv:2508.17972.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.17972 v1

Coverage vector

measured 100 of 103 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:01:39.977457Z

measured 109 of 109 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:52:43.679592Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T22:39:01.313750Z

Reference resolution

100 of 103 outbound references displayed

  • verified exact0
  • verified fuzzy47
  • unresolved53
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 01f50126-b156-421e-a1a7-02a9bb2b6bb8 · outbound

This paper cites Building rome in a day.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Building rome in a day

Reference 1

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source=pdf_text observed=2026-08-15T17:01:39.489034Z digest=sha256:3532491692fb7d43a967bab9a7d9549e07b28b66baa15630cbfaeaf1a9b04f35

Observation b438ba5b-829f-46f6-bf2f-5dff7d87e80d · outbound

This paper cites Reloc- net: Continuous metric learning relocalisation using neural nets.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Reloc- net: Continuous metric learning relocalisation using neural nets

Reference 2

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source=pdf_text observed=2026-08-15T17:01:39.495043Z digest=sha256:7a00238a9c3ef0909ac3a3bb30cf9efbe039584dd219fc4842a41a2a6ba84cf0

Observation 8048cd4c-5529-42a3-a43b-392695921c88 · outbound

This paper cites Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Mip-nerf: A multiscale representation for anti-aliasing neu- ral radiance fields

Reference 3

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source=pdf_text observed=2026-08-15T17:01:39.499988Z digest=sha256:2c6f82140e5131a6354920a3867d8bd75dd424c04413bc9cd951896ce5549276

Observation f6a3ce62-fce8-4ac8-809a-cc9e067b6fe9 · outbound

This paper cites Mip-nerf 360: Unbounded anti-aliased neural radiance fields.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Mip-nerf 360: Unbounded anti-aliased neural radiance fields

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.504885Z digest=sha256:924edc2a0edb7f8174664a8a3e6c29cea85f3a7e23fcef8b92785f654f63aa29

Observation 48fffd71-97ed-46d3-9e46-58c702249c4a · outbound

This paper cites Nope-nerf: Optimising neural radi- ance field with no pose prior.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Nope-nerf: Optimising neural radi- ance field with no pose prior

Reference 5

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source=pdf_text observed=2026-08-15T17:01:39.509813Z digest=sha256:98b1f42ef3e3d86702d479e3dce84f553428c150f0c938a752626f83e7850081

Observation a2ffa71b-cd5a-4d3d-9de9-ac8c8c8a89d0 · outbound

This paper cites Visual camera re- localization from rgb and rgb-d images using dsac.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Visual camera re- localization from rgb and rgb-d images using dsac

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.514632Z digest=sha256:87fd5880deaa78d9c18e015aa7005f3ad0d1e287678b47dcc7ffc9c17192d937

Observation dda676ca-9feb-451f-816f-0ab664b8e247 · outbound

This paper cites DSAC-Differentiable RANSAC for camera localiza- tion.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization DSAC-Differentiable RANSAC for camera localiza- tion

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.519550Z digest=sha256:d2dac2dca71ca2907774fa8cd65e3213d3fe1f88c812da46091bf90379bf164c

Observation d84a1c02-84b6-4c56-8dc8-7fd8ffea3e85 · outbound

This paper cites Accelerated coordinate encoding: Learning to relocalize in minutes using rgb and poses.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Accelerated coordinate encoding: Learning to relocalize in minutes using rgb and poses

Reference 8

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source=pdf_text observed=2026-08-15T17:01:39.524528Z digest=sha256:be077ee481dce37da1f10bfb6db419ff296371036063b1f5965e01aef398d3c7

Observation e89f4df8-31f7-4406-b66e-86d5bd63e287 · outbound

This paper cites Scene coordinate reconstruction: Pos- ing of image collections via incremental learning of a relo- calizer.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Scene coordinate reconstruction: Pos- ing of image collections via incremental learning of a relo- calizer

Reference 9

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source=pdf_text observed=2026-08-15T17:01:39.529160Z digest=sha256:20ea3421f65f70e7905962264e3288467a9ecd901cc85c96d4c350e66a802fb3

Observation 6aa70367-5dea-4a93-bd0a-64233b323205 · outbound

This paper cites Virtual KITTI 2.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Virtual KITTI 2

Reference 10

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source=pdf_text observed=2026-08-15T17:01:39.533912Z digest=sha256:f03a427f05fea3c65bb8ae19c807008ccf53ab912780ecea28768794da8f99c4

Observation da0ce2d2-101f-490e-9b6e-3d0720ad5649 · outbound

This paper cites Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam

Reference 11

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source=pdf_text observed=2026-08-15T17:01:39.539038Z digest=sha256:28a84986d16670a0f852dee00851c84587c4dbdb71494578aaed2125ecfc4387

Observation 23933ea9-7f69-44cf-9a8e-b9e220e9b701 · outbound

This paper cites Learning to match features with seeded graph matching network.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Learning to match features with seeded graph matching network

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.543451Z digest=sha256:e7c9dbccf855b16d8976ca3d9c13afa188937bdcd4cdec442e98ad0208aa7217

Observation 02bb9949-a521-4b9c-aab6-424c58cad7a1 · outbound

This paper cites Global structure-from-motion by similarity averaging.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Global structure-from-motion by similarity averaging

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.547845Z digest=sha256:ace7453762560d91f93528f6fb96097df3db9d6dd1931410739372d729220714

Observation 678cf7ef-13a3-477d-a81e-06d2d0143b6e · outbound

This paper cites Deepfactors: Real-time probabilistic dense monocular slam.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Deepfactors: Real-time probabilistic dense monocular slam

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.552160Z digest=sha256:79b66e96137541b9b0cfeffedcbe66c2c2b605db0d4eddaeac8547a312b2cd8b

Observation 900f10f7-3e58-4854-a19d-86ec07ea9d9f · outbound

This paper cites An adaptive feature optimization strategy for direct visual odometry.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization An adaptive feature optimization strategy for direct visual odometry

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.556584Z digest=sha256:f4d13a8bb17f4ea3e6d7779d1f2c967092e4452bde8b0196683fa8c355cd08b5

Observation 4378a09f-d920-4d26-baf9-2c74c618bcef · outbound

This paper cites Superpoint: Self-supervised interest point detection and description.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Superpoint: Self-supervised interest point detection and description

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.561156Z digest=sha256:abbec66961cc62187063220e2d57775bc7cc35e7efd9644d914f76cc99598761

Observation bfc7f00a-c000-4383-83cb-6082dd889518 · outbound

This paper cites Superpoint: Self-supervised interest point detection and description.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Superpoint: Self-supervised interest point detection and description

Reference 17

Resolution
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no resolver link, observed 2026-08-15T17:01:39.565709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.565709Z digest=sha256:e918f5b1218b5c5fa08da036f3f1752af14e94bb44369009d78c9c8b94c1cbb6

Observation 11da965c-3d02-48cc-b91e-d66221e6c495 · outbound

This paper cites Camnet: Coarse-to-fine retrieval for camera re- localization.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Camnet: Coarse-to-fine retrieval for camera re- localization

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.570259Z digest=sha256:fd16aee6efdd9a80b2c323d4f6a31a1e3382e926aeb74bda75d1123c24dbd5cf

Observation b7d75d7c-38ee-42b9-b032-c0d4112c8617 · outbound

This paper cites MASt3R-SfM: a Fully-Integrated Solution for Unconstrained Structure-from-Motion.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization MASt3R-SfM: a Fully-Integrated Solution for Unconstrained Structure-from-Motion

Reference 19

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source=pdf_text observed=2026-08-15T17:01:39.574568Z digest=sha256:3413d824328ab2a846d4afe711518b38b24d3239188e2ad79f71462f1aeed3c0

Observation cddf9ff2-53f3-45ac-bba3-39dc60ddc1ea · outbound

This paper cites D2- net: A trainable cnn for joint description and detection of local features.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization D2- net: A trainable cnn for joint description and detection of local features

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.579653Z digest=sha256:82cec18a53714559ab6d676beecd05c4b7c78b49f9444516f63d67e0f851403c

Observation 790f562d-066d-4e57-a99d-5f50af4f375b · outbound

This paper cites Light3r- sfm: Towards feed-forward structure-from-motion.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Light3r- sfm: Towards feed-forward structure-from-motion

Reference 21

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source=pdf_text observed=2026-08-15T17:01:39.584158Z digest=sha256:bef1f48ec0d0094cb683ea39a1bd11ce72df89c368de7033d97802dd67ee4e88

Observation f03f89cd-12ec-4acd-945f-4d39d56885c6 · outbound

This paper cites Build- ing rome on a cloudless day.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Build- ing rome on a cloudless day

Reference 22

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source=pdf_text observed=2026-08-15T17:01:39.590011Z digest=sha256:3ace20db178e6ddc87a8251a5ddf2d47ec15a0619f7e5296d98b3405cc1603f2

Observation 426bc4f6-dde3-4a60-8c5b-1dd9bc0c4d96 · outbound

This paper cites Complete solution classification for the perspective-three-point problem.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Complete solution classification for the perspective-three-point problem

Reference 23

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source=pdf_text observed=2026-08-15T17:01:39.594737Z digest=sha256:e47acf5fa1c8b3cda2d6740472e108552b21ddc5b30f6319e6ea0985c9100822

Observation e145074e-050e-4a3a-9e07-3917c1fc822f · outbound

This paper cites evo: Python package for the evalua- tion of odometry and slam.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization evo: Python package for the evalua- tion of odometry and slam

Reference 24

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source=pdf_text observed=2026-08-15T17:01:39.599725Z digest=sha256:52fd22e6d8702eb930113d576729058552ca8f659d1956def65d4a648ca2f113

Observation 8ec5df43-c9be-4125-972a-47630b3733ce · outbound

This paper cites Multiple view ge- ometry in computer vision 2nd ed., 4th print, 2006.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Multiple view ge- ometry in computer vision 2nd ed., 4th print, 2006

Reference 25

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source=pdf_text observed=2026-08-15T17:01:39.604354Z digest=sha256:a0e21edb1fd49b9b0e9befc1d808481c3b0af30b190126a57380d297ca02c2c0

Observation f631547f-dd40-45ad-a03a-b0e8c5c642f7 · outbound

This paper cites Detector-free struc- ture from motion.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Detector-free struc- ture from motion

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.609168Z digest=sha256:99d2871c56934591e21014cef3e2a500b1550ff711b195278669a912c028f312

Observation 64b06f1c-3548-493f-961d-8b6e766d7b11 · outbound

This paper cites Deepmvs: Learning multi-view stereopsis.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Deepmvs: Learning multi-view stereopsis

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.614162Z digest=sha256:dacef400021de4f740d0d27d4494092dd7462c9c632fa616a9cb280b49f2d778

Observation d316fd17-583d-4d1d-b457-885fbf11495e · outbound

This paper cites Investigating the role of image re- trieval for visual localization: An exhaustive benchmark.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Investigating the role of image re- trieval for visual localization: An exhaustive benchmark

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.621650Z digest=sha256:8f1df16328c72824d6c4f2c1c4ed06e4bb9e3f1a600a1c802531202673837e56

Observation 3b20f828-a2b3-430b-824c-b7955e9bf4f2 · outbound

This paper cites A global lin- ear method for camera pose registration.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization A global lin- ear method for camera pose registration

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:41.112551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.626600Z digest=sha256:c47083a4a2aae685715eada3a283caf7d5db6e270563e8a247f9dc7936e08ee0

Observation 9242951b-d792-48e7-b01f-e119992589ed · outbound

This paper cites Posenet: A convolutional network for real-time 6-dof cam- era relocalization.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Posenet: A convolutional network for real-time 6-dof cam- era relocalization

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:41.095782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.631032Z digest=sha256:fbd1f933a699f0791ee90d0996f60db23283aaa1ed13ebacfcb9df43d4fbc8b9

Observation 4366e414-a0b7-4a4c-a4e6-db8590021396 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization 3d gaussian splatting for real-time radiance field rendering

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.635565Z digest=sha256:ef342301b323a207bf2fa158163e37f3504f181096777c5629582a4010ada926

Observation b51bfec8-d359-4b4d-999d-9f9d62803006 · outbound

This paper cites Tanks and temples: Benchmarking large-scale scene reconstruction.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Tanks and temples: Benchmarking large-scale scene reconstruction

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-15T17:01:41.069233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.640016Z digest=sha256:ac05e212e5d058467c26c5a44722ac7b3e9b81ddf8ce0bf183e27f30456e0cf7

Observation f5644ce7-8a70-468d-9b12-fd5bc489f2b5 · outbound

This paper cites Camera relocalization by computing pairwise rel- ative poses using convolutional neural network.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Camera relocalization by computing pairwise rel- ative poses using convolutional neural network

Reference 33

Resolution
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raw_fallback, observed 2026-08-15T17:01:41.052701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.644452Z digest=sha256:c68ffd74d593b4d6d28c28a1905a54496d0e75fe25358dafd65a217ba5790ef9

Observation f945fd53-fe0d-4a68-a412-4eeb45337076 · outbound

This paper cites Ground- ing image matching in 3d with mast3r.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Ground- ing image matching in 3d with mast3r

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:41.035550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.649649Z digest=sha256:466199d67266786a309148afda8f57ed9e143508ee0b8bbe40993b0322672643

Observation e0a79b80-ade4-42de-a44c-619e2dfaa0c2 · outbound

This paper cites Megadepth: Learning single- view depth prediction from internet photos.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Megadepth: Learning single- view depth prediction from internet photos

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:41.019432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.654119Z digest=sha256:8b77083a4756d0f325382627e8b51c88d23840e63cd8f41a7ef3a3fc54e6db38

Observation fa3e13f2-c7e1-4c42-91eb-3d9556a83032 · outbound

This paper cites Relpose++: Recovering 6d poses from sparse-view ob- servations.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Relpose++: Recovering 6d poses from sparse-view ob- servations

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:41.003761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.658798Z digest=sha256:e1248f6b02ab2cc1725ce1faf6e739b26d7a924fd809d1151d4528e0a6bb0a15

Observation a6ab572f-10c7-43c7-b9a5-2a9c9fd88374 · outbound

This paper cites Barf: Bundle-adjusting neural radiance fields.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Barf: Bundle-adjusting neural radiance fields

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.988878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.663381Z digest=sha256:db61b384c9b366a0cdf0d5f651a61bc73845508d7de172bb0b72dabc8ecd9b53

Observation 2ddfb629-5763-4969-bed2-0b386a7e3955 · outbound

This paper cites Pixel-perfect structure-from- motion with featuremetric refinement.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Pixel-perfect structure-from- motion with featuremetric refinement

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.973248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.667846Z digest=sha256:930238d9bce6f0c87a91e8579192fcc24917696d412949570a99c53ecb10a296

Observation c9694d2c-1a8c-4267-a559-a5a19d2b7bc7 · outbound

This paper cites LightGlue: Local Feature Matching at Light Speed.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization LightGlue: Local Feature Matching at Light Speed

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.672359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.672359Z digest=sha256:c72e07228057e829839abfbf52f88bec7928577afff37a7611a27416e6527803

Observation de4e6056-87cb-434d-835e-171d234ac6c2 · outbound

This paper cites Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Dl3dv-10k: A large-scale scene dataset for deep learning-based 3d vision

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.677077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.677077Z digest=sha256:f2369583ea92a5484187c7d56b84d5b305d82de75f669e04f69feb69c3b5fc88

Observation 131b6f58-2012-4940-8ff8-2e72b5baad12 · outbound

This paper cites Deep patch visual slam.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Deep patch visual slam

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.949386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.681795Z digest=sha256:d9f88bfd8dc47ddfc2027abc480af871299bb3b4edb8eb0d2df2eb45d1eef3f4

Observation c1b8065c-8844-4755-bbb8-a9c6ffe9b61f · outbound

This paper cites Slam3r: Real- time dense scene reconstruction from monocular rgb videos.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Slam3r: Real- time dense scene reconstruction from monocular rgb videos

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.934745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.686547Z digest=sha256:a89744088a587ef8e9806939f4e18f427d2b74bdde9e37836f7f3bad3c6fe2a6

Observation 05d0b3c0-43bf-45a0-937d-f4f597edf359 · outbound

This paper cites VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.691477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.691477Z digest=sha256:06f0616ada549cb96ea7f3d617b1b3391605886fa6d3300154a4abf3dd649eb4

Observation 56f822a2-e62b-40e1-a4a4-6cbe7c835a06 · outbound

This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.697135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.697135Z digest=sha256:a7d42afae9022dca784880e8fdea04521c308268f7d5c165adb6dfae5b180ce2

Observation 4c6d003a-c088-4326-86f4-1834e732953e · outbound

This paper cites Mast3r-slam: Real-time dense slam with 3d reconstruction priors.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Mast3r-slam: Real-time dense slam with 3d reconstruction priors

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.910325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.701820Z digest=sha256:3e423f89e0371913b871a82e4f758180aaa506d525dba25825b4ae393d2c2baa

Observation b4b77e54-0188-4a32-9f19-2bca1bc9861a · outbound

This paper cites The mapillary vistas dataset for semantic understanding of street scenes.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization The mapillary vistas dataset for semantic understanding of street scenes

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.706621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.706621Z digest=sha256:6184d6ac34821d93eed30a3b5db61b8fa1952c368e988bfb885c3659462e0261

Observation 736ce90d-d964-43c3-8c55-5b742889227e · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization DINOv2: Learning Robust Visual Features without Supervision

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.711815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.711815Z digest=sha256:612d4f16a5a5280d6aa66eda2be7ed4762ba6b8cf367dd7434b6638e55bd0ac5

Observation a80dd1ac-dadc-4cf7-8a4d-381116c96768 · outbound

This paper cites Global Structure-from-Motion Revisited.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Global Structure-from-Motion Revisited

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.886214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.716358Z digest=sha256:92b24c6fa4db41473f2b9eec1982a8b5c8096c86be1be925173a8698ca687fa8

Observation a37417e0-5216-4a26-abd6-4820851cad2b · outbound

This paper cites Aria digital twin: A new benchmark dataset for egocentric 3d machine perception.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Aria digital twin: A new benchmark dataset for egocentric 3d machine perception

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.871093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.720944Z digest=sha256:b4d443890823db1be141e38d7f5ec72d9e821b2e331dc575fbe252ca389afaa4

Observation 984f956f-d7ac-4a25-a9bd-0f718e396215 · outbound

This paper cites Language models are unsu- pervised multitask learners.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Language models are unsu- pervised multitask learners

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.725981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.725981Z digest=sha256:d444959783d23522d4342e4cb8ccc8fef94c108d9f3620f6fb251d0679a7426f

Observation bec3a0df-49e9-40af-a9b0-7bcab1485358 · outbound

This paper cites Vi- sion transformers for dense prediction.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Vi- sion transformers for dense prediction

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.730768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.730768Z digest=sha256:644593bd2eb9a0868e4ed128ab5c00259a65d84ab41fee2416df5f145352e8ab

Observation ca30b4f1-9f97-4e5e-babd-151a7a6370b5 · outbound

This paper cites Pre- dicting visual overlap of images through interpretable non- metric box embeddings.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Pre- dicting visual overlap of images through interpretable non- metric box embeddings

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.837810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.735551Z digest=sha256:3f9e7710dde798a2bbfd65eafc27ba6eb5e9b2de443bf12d3f179475b4ffd096

Observation 9d07d178-c818-492b-9fb8-53c3bb27ffa2 · outbound

This paper cites Com- mon objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Com- mon objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.823082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.740638Z digest=sha256:710ff336c3dcf9039799cd1491440bff169f237edaa648d2a4b400d5d0dbf96c

Observation 77186c15-5370-4fd3-b134-ff42ad6bba38 · outbound

This paper cites Hypersim: A photorealistic syn- thetic dataset for holistic indoor scene understanding.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Hypersim: A photorealistic syn- thetic dataset for holistic indoor scene understanding

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.744703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.744703Z digest=sha256:bfd66506ae7d8e42499db4711d785a18f78660e7e4c742a1e844653ec5f82ba1

Observation a65cdd95-b0f5-4690-91c6-03e61065b642 · outbound

This paper cites From coarse to fine: Robust hierarchical localization at large scale.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization From coarse to fine: Robust hierarchical localization at large scale

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.749267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.749267Z digest=sha256:9e5d66b66135b8ccff9e90464c84af0fd59b949d5fec3706e6e0e47ce5acdca8

Observation cd282625-88e2-4912-86ae-e67e81a1e0da · outbound

This paper cites Superglue: Learning feature matching with graph neural networks.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Superglue: Learning feature matching with graph neural networks

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.789096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.753658Z digest=sha256:8a32d9aa97c4bb321b584a0f5b4bec4f0405d0383440287c8c2ffdd2a5e9d03b

Observation 71c90396-ca6e-4814-9535-b2809250719c · outbound

This paper cites Back to the feature: Learning robust camera localization from pixels to pose.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Back to the feature: Learning robust camera localization from pixels to pose

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.773845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.758540Z digest=sha256:40db342a7b4f667f06539fd6e0d84cd86d8f9b5d99608b9fce7b39868584ba1c

Observation cbf9ae19-9fa1-4243-9346-38b93b0a938f · outbound

This paper cites Are large-scale 3d models really necessary for accurate visual lo- calization? In Proceedings of the IEEE Conference on Com- puter Vision and Pattern Recognition , pages 1637–1646,.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Are large-scale 3d models really necessary for accurate visual lo- calization? In Proceedings of the IEEE Conference on Com- puter Vision and Pattern Recognition , pages 1637–1646,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.758629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.763100Z digest=sha256:c229db810419cd55eee1d324be4eed58f0baacc9adf1d23684711e512676d130

Observation 9f0ab338-7562-4ef7-a00d-c3c586e980b7 · outbound

This paper cites Structure-from-motion revisited.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Structure-from-motion revisited

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.743590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.768312Z digest=sha256:507d18ebfeb9740932e9d376df9988cbf0ae41e0794e5ebaf1eb2a98ac6bdac6

Observation 1d721e04-de1b-4461-a4b7-4f09c4d9d0ef · outbound

This paper cites Structure- from-motion revisited.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Structure- from-motion revisited

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.773208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.773208Z digest=sha256:3d33350339a68bcf620cefb3095c48bdc8bc19bb6c2f8583146176230f3566a2

Observation 25b791a1-abfb-4be0-a4bb-99a08d61b430 · outbound

This paper cites Clustergnn: Cluster-based coarse-to- fine graph neural network for efficient feature matching.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Clustergnn: Cluster-based coarse-to- fine graph neural network for efficient feature matching

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.718846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.777884Z digest=sha256:e92a64bcf2338f244ed73ffcc99d507840268888d241e7b6970bf3f7cd51bfdb

Observation dcf5f53a-2d33-41fb-a36a-6b30223beb30 · outbound

This paper cites Scene co- ordinate regression forests for camera relocalization in rgb-d images.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Scene co- ordinate regression forests for camera relocalization in rgb-d images

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.702195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.782833Z digest=sha256:7ca50f7ac219da2aedc9fe429ad3edc95b3c74f9f9a0e6d8c6b4141b05a302ea

Observation e7489879-0a42-4fa4-9735-4b99a555c2f9 · outbound

This paper cites FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.787886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.787886Z digest=sha256:fa45849a322ba141d0d5026b4fffaffa264a109032ee7d5d8c82365af17c4107

Observation f8b3e921-4683-4ed3-b9d2-b18732d8dfb9 · outbound

This paper cites Photo tourism: exploring photo collections in 3d.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Photo tourism: exploring photo collections in 3d

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.792760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.792760Z digest=sha256:949bc3869ceaf224fd8dd0408d44d814121371e7e9a8f7e3e7b0446619dbb6eb

Observation 54edfcc6-9268-4f8b-8688-75b325777d2c · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Dropout: a simple way to prevent neural networks from overfitting

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.677046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.797368Z digest=sha256:e05ae9dcdca8af66f0c96ad02dacdd2340fb11358c6af00dec1ac360c44b84bd

Observation 4ce6a31f-302c-491f-a2bd-3100a11b31bb · outbound

This paper cites A benchmark for the evalua- tion of rgb-d slam systems.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization A benchmark for the evalua- tion of rgb-d slam systems

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.661776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.802203Z digest=sha256:9c7817d6f6217b361fd1e8233b19f04cf96acfc0fbd6944a08581f92d9116e4d

Observation ada3ce39-1ca4-4e8a-bbcf-83e1784eeb9a · outbound

This paper cites imap: Implicit mapping and positioning in real-time.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization imap: Implicit mapping and positioning in real-time

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.646303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.807020Z digest=sha256:4566f8f1400971ac604822ab1fb44896d0ae4d857020e539223829ea9c591263

Observation 0bd88b93-7b1e-4cea-8221-8a5ff3b1e965 · outbound

This paper cites Loftr: Detector-free local feature matching with transformers.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Loftr: Detector-free local feature matching with transformers

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.812287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.812287Z digest=sha256:9f1d8d11289b33d0007f8bc3bd38d7b0a863ea0d7dca9754b6ebeb1628199c06

Observation 9c5b7eff-7e38-4f04-ac79-f47d4ce10d71 · outbound

This paper cites Nerfstudio: A modular framework for neural radiance field development.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Nerfstudio: A modular framework for neural radiance field development

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.621837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.818401Z digest=sha256:3178ea2e4e88375b7032c26c29de3479a7f989a07d4ab035ba38e7447be07713

Observation c499a7dd-4105-4097-a906-1ff4580ec405 · outbound

This paper cites BA-Net: Dense Bundle Adjustment Network.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization BA-Net: Dense Bundle Adjustment Network

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.823904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.823904Z digest=sha256:407f2a033b2aebcba0cd4de0fb900443c465d163b9341c4e372f71955fc87d14

Observation ff9da555-4d70-4381-927e-403125d20af8 · outbound

This paper cites Learning camera localization via dense scene matching.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Learning camera localization via dense scene matching

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.605119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.829300Z digest=sha256:cadb432664b85f2b3085c42f349c6bedcd052708688fb46bc4465d8c0e64c39e

Observation cdc2ad3b-8efc-4709-ba31-ea17b426a575 · outbound

This paper cites Neumap: Neural coordinate map- ping by auto-transdecoder for camera localization.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Neumap: Neural coordinate map- ping by auto-transdecoder for camera localization

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.588342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.834093Z digest=sha256:11b30b49a219d49c71afa26602d78eebedb7a12c8f43ec015db60a61edb5aaa1

Observation 1eba89bd-a94e-4fff-8f85-6753ba1f928c · outbound

This paper cites Mv-dust3r+: Single-stage scene reconstruction from sparse views in 2 seconds.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Mv-dust3r+: Single-stage scene reconstruction from sparse views in 2 seconds

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.573621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.838669Z digest=sha256:993aeb5a090cc86cc5a74a71a58af6e97f9182e45c194e4899d56246a7ac7a3d

Observation 47c1f8a0-f3d3-4e76-b449-cd327d878900 · outbound

This paper cites DeepV2D: Video to Depth with Differentiable Structure from Motion.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization DeepV2D: Video to Depth with Differentiable Structure from Motion

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.844161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.844161Z digest=sha256:bec479635acd8c7dfc9736af05922955bea8599fd301ff61dc299cfe90046144

Observation 67b2f0f2-2213-4c6d-a93f-934d01f89329 · outbound

This paper cites DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.558766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.849004Z digest=sha256:2b69bfcaf5a96fdc7ffb156168c7d40e975fb087e1eb5bb2e346c0742c1d739e

Observation 050beaf2-22fd-4a08-866a-c71ba6c006d3 · outbound

This paper cites Bundle adjustment—a modern synthe- sis.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Bundle adjustment—a modern synthe- sis

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.543460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.853535Z digest=sha256:6e9d1ec0728093eb539e469402618cea984ee0e4c25faa4d4429d1d3aafddc8c

Observation 55a63794-9aa1-4227-b284-b799da4950a5 · outbound

This paper cites Visual camera re-localization using graph neural networks and relative pose supervision.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Visual camera re-localization using graph neural networks and relative pose supervision

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.528683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.857893Z digest=sha256:75bd7d0a9e4781d0e9979d939726b4800444ae2c1b3275d86e99802539bc7d47

Observation f37c1c66-ac2f-4727-8891-933121e93068 · outbound

This paper cites Disk: Learning local features with policy gradient.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Disk: Learning local features with policy gradient

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.862233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.862233Z digest=sha256:0e60fc3574b5adffe31f8840addae0c25ad4ca724979497281ad38755a657b64

Observation 6de260d3-4a14-472b-a143-9e7e418cd5e6 · outbound

This paper cites Attention is all you need.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Attention is all you need

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.866849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.866849Z digest=sha256:92d29cc469abd9825643f94bae4319c9023b396a441d8be62b604b7e2865da0b

Observation 3c32943b-50a6-4c8d-820e-e39a58438491 · outbound

This paper cites GeoCalib: Single-image Cali- bration with Geometric Optimization.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization GeoCalib: Single-image Cali- bration with Geometric Optimization

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.493736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.871317Z digest=sha256:00509cf420f3793c270cc1454276ed232d2787a1cc933eae7cb15cc6b5598105

Observation 21685a32-55a8-435c-a377-b3d4c70f6d0a · outbound

This paper cites 3D Reconstruction with Spatial Memory.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization 3D Reconstruction with Spatial Memory

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.876258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.876258Z digest=sha256:cc9e8164db327c57f7134f267786e65c619530eabdcc412d3a39dabb46a90344

Observation 2822cf3c-f80d-456b-9097-0b23023aa781 · outbound

This paper cites 3d reconstruction with spatial memory.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization 3d reconstruction with spatial memory

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.478782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.881280Z digest=sha256:5e095125977f86a420022147a2c3e810c118446e2679f8415087c04fe4ed7788

Observation fd079ca6-5ccb-4ce3-8881-6071c6de91b6 · outbound

This paper cites Posediffusion: Solving pose estimation via diffusion-aided bundle adjustment.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Posediffusion: Solving pose estimation via diffusion-aided bundle adjustment

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.885544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.885544Z digest=sha256:7500fe70762af0caabf58271b294d6c3dd81f7292d0906cd9081d07670a2375f

Observation 15be3614-a123-4c01-9ee7-ec2cbd3a074c · outbound

This paper cites Vggsfm: Visual geometry grounded deep structure from motion.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Vggsfm: Visual geometry grounded deep structure from motion

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.454788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.890315Z digest=sha256:73f219bf309bce6ebee7dfc4a277200eb7814f33263e80574ce02871ea14987d

Observation 87e02419-26eb-4ee0-87a2-08c4743087cb · outbound

This paper cites Vggt: Vi- sual geometry grounded transformer.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Vggt: Vi- sual geometry grounded transformer

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.439498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.895506Z digest=sha256:b7d5f13b733477e4557e3159d249c48d82a26bc44ba73d182c26304e3c4ae712

Observation adcd90f0-964d-4333-8a1e-f44d247571a3 · outbound

This paper cites Continuous 3d per- ception model with persistent state.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Continuous 3d per- ception model with persistent state

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.424129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.900412Z digest=sha256:5f18195908c1317b0527d0470256ddd5cfb1dcb4b49f8157e8a9f6175cf242a8

Observation 7474a2ef-7239-4c42-9a88-e66cda119620 · outbound

This paper cites Dust3r: Geometric 3d vi- sion made easy.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Dust3r: Geometric 3d vi- sion made easy

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.405391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.905090Z digest=sha256:7c1d5aed5e9df729356f3b071ee06df57e42b3a8198dfacf618914cc88bb4e4f

Observation f94852e6-e2e0-489b-8c22-098befb7c81e · outbound

This paper cites Deepsfm: Structure from motion via deep bundle adjustment.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Deepsfm: Structure from motion via deep bundle adjustment

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.909547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.909547Z digest=sha256:a67957eb0e290174333c5df61ff29a4c57b55bd959570cb33fda55745796c97f

Observation 7cc4d272-ca85-4c32-a804-6d7bfabab290 · outbound

This paper cites Robust global translations with 1dsfm.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Robust global translations with 1dsfm

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.379599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.913957Z digest=sha256:d0d8ccc558ccac238551f72dd5f06ea91f34804eece8f4b72a7a1fb839de1c42

Observation e84cada2-4fd4-42ff-8ede-ec330744b6a9 · outbound

This paper cites Rgbd objects in the wild: Scaling real-world 3d object learning from rgb-d videos.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Rgbd objects in the wild: Scaling real-world 3d object learning from rgb-d videos

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.364499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.918584Z digest=sha256:0986371da5502ba80eea76d141b954458ed520630da4adbc5a5a5c0ea888ab8d

Observation 30414b0b-08ef-44b7-9a0d-3cb9b08f027e · outbound

This paper cites Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.923482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.923482Z digest=sha256:640a90159b826370e3b5713ddeec4aac85f2efde455047e1e7ed7c5acc42b73b

Observation 1eac1450-0ae0-4c84-bb34-78ee9c6d398e · outbound

This paper cites Sanet: Scene agnos- tic network for camera localization.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Sanet: Scene agnos- tic network for camera localization

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.349107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.929444Z digest=sha256:4e977fac098095505d37d50ada4bc898e2213af3cfcb69b4ce408fbbe72264ac

Observation ade1c2eb-2dde-4578-8d56-58b0e6b630d9 · outbound

This paper cites Sce- nesqueezer: Learning to compress scene for camera relo- calization.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Sce- nesqueezer: Learning to compress scene for camera relo- calization

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.933955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.933955Z digest=sha256:9c9b2a2bd38d38fa8287a23732c7baafedc2845846598931aaeb5ec7465b480c

Observation dbcd2871-ba3e-4e96-85f5-cc4af36a095b · outbound

This paper cites Mvsnet: Depth inference for unstructured multi-view stereo.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Mvsnet: Depth inference for unstructured multi-view stereo

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.938516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.938516Z digest=sha256:ee550ac9a89d0bd2678ede5f0b8cc3628adaf70198157a16280fff5b8f1ffad3

Observation 6452b9a6-0d2f-4d10-86af-b4a46d3cca1a · outbound

This paper cites Blendedmvs: A large-scale dataset for generalized multi-view stereo net- works.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Blendedmvs: A large-scale dataset for generalized multi-view stereo net- works

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.942783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.942783Z digest=sha256:ba4395fe5a58b44e0d2da69a4f1cf6609471d2bf8ea9153924c47295ca6fa5af

Observation 0d8448b8-8104-40d6-b151-be9a74c1d388 · outbound

This paper cites Scannet++: A high-fidelity dataset of 3d in- door scenes.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Scannet++: A high-fidelity dataset of 3d in- door scenes

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.305215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.947922Z digest=sha256:a5ec6760c0042550f14a0381efd9a4c03edf586df5209f40842d63dc38c233fb

Observation a1ee4e94-27f7-41fb-8dce-8a167260c8f0 · outbound

This paper cites LIFT: Learned Invariant Feature Transform.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization LIFT: Learned Invariant Feature Transform

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.290249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.956144Z digest=sha256:4daa93e1be094d918e689b705eb04660276e42e09b5e7109358d3d5167cf1ef5

Observation 53025cef-01ef-4da2-aa6d-58f0772730e9 · outbound

This paper cites Flare: Feed-forward geometry, appearance and camera estimation from uncalibrated sparse views.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Flare: Feed-forward geometry, appearance and camera estimation from uncalibrated sparse views

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.275392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.961480Z digest=sha256:3c2d00ee972c334884e5252c969f417382926659b6cc4a5c6ad3511450f571ba

Observation 3c630cb0-d010-4e4a-96f2-55745b6abca2 · outbound

This paper cites Go-slam: Global optimization for consistent 3d in- stant reconstruction.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization Go-slam: Global optimization for consistent 3d in- stant reconstruction

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-15T17:01:39.967131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:01:39.967131Z digest=sha256:af7365690bfd0e359767c69e6ae9392a1e1f80737784991943914f13a68aeb7d

Observation 212a023d-8843-4a74-8945-cf37d3750d14 · outbound

This paper cites As described, we follow the training set of VGGT [85], which we use a cosine learning rate sched- uler with a maximum learning rate of2×10−4 and a warm- up of 2K iterations.

SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization As described, we follow the training set of VGGT [85], which we use a cosine learning rate sched- uler with a maximum learning rate of2×10−4 and a warm- up of 2K iterations

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:01:40.234551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T17:01:39.977457Z digest=sha256:95bbf3161798ea48948c628bd8fd26624686a7ee8ab29056c9de8bcce8621b97

Pith citing papers

Observation 0cfffe66-c6f8-4fec-919c-938f26fb6a69 · inbound

Depth Anything 3: Recovering the Visual Space from Any Views cites this paper.

Depth Anything 3: Recovering the Visual Space from Any Views SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:07:59.209402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-11T02:07:59.160853Z digest=sha256:d8119c5bf7b428180d6556bf22d416b90ea9e63bf778d10075af244216138cbd

Observation 39e7c1b4-be69-40e7-9bae-00d9734f276a · inbound

FrameVGGT: Coherence-Preserving Memory for Bounded Streaming Geometry cites this paper.

FrameVGGT: Coherence-Preserving Memory for Bounded Streaming Geometry SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-15T14:46:08.269615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T14:41:38.781110Z digest=sha256:274f62daa3edfab34beae6c12e77a569e1b75201fb14feb5ab6f397a4be2d64c

Observation 67ec9fec-f3b7-415f-95af-749cff15f594 · inbound

Scal3R: Scalable Test-Time Training for Large-Scale 3D Reconstruction cites this paper.

Scal3R: Scalable Test-Time Training for Large-Scale 3D Reconstruction SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:50:59.583392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T16:56:14.380078Z digest=sha256:27526248168c9f733e8f4f5b56f617ee8527c198712c8ae532b2da5d2aecc1bc

Observation bcd9bb91-db96-4092-81ca-95458974a8fd · inbound

Global Structure-from-Motion Meets Feedforward Reconstruction cites this paper.

Global Structure-from-Motion Meets Feedforward Reconstruction SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:34:01.542406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T22:30:34.422072Z digest=sha256:cc58baa4b9489d6befa969c89887aa11cd302597a8fe630be6fdcbdfcebcdf26

Observation 1ba273f9-126b-463b-b2b3-1e0507c922c5 · inbound

EPS3D: End-to-End Feed-Forward 3D Panoptic Segmentation cites this paper.

EPS3D: End-to-End Feed-Forward 3D Panoptic Segmentation SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:27:29.324401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T17:14:57.964494Z digest=sha256:fb9ccbba6274b951849fcc09e972a2456488bf9e08efb0666d108129498340ff

Observation 78ea0153-c727-4214-8998-f58e8d91a9fb · inbound

Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes cites this paper.

Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T08:14:26.431271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T06:09:50.120416Z digest=sha256:5a2310991a592776c53c0f6550dfde2c5d99e3fd8a47cdb4364a4443344c67aa

Observation f4481e08-4c4d-4e69-ba0d-a4f73495794f · inbound

Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes cites this paper.

Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T22:39:01.315673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-03T22:32:09.687996Z digest=sha256:a4498aca6ea43d1b623c0e4c0e561a0b56356f432f8567146a04f1c137caad5a

Observation dac00902-8dba-4464-a512-e73fa80ea207 · inbound

Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes cites this paper.

Argus: Metric Panoramic 3D Reconstruction for Indoor Scenes SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-12T10:45:59.984189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T10:45:59.984189Z digest=sha256:30b0288f4b23ad3acbdedf796ecb83e3ec9b16770ce127ae0a680b00d107656a

Observation 5595ee41-297c-4cdb-b4f0-d5ac9f9bdafb · inbound

MAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB Videos cites this paper.

MAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB Videos SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T23:52:43.679592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:52:43.679592Z digest=sha256:bf41f6e1395d4b01a081a928aa0cfe2addb516c519373c96ea4ac9a6549bcbc8