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Paper Citation Record · LEDGER

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior

As of 12 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2507.06651.

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

pith.paper-citation-record.v1
2507.06651 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:05:00.756404Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

66 of 66 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8bd2f848-e30d-4b37-8a7d-f9572a0acf4a · outbound

This paper cites D3feat: Joint learning of dense detection and description of 3D local features.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior D3feat: Joint learning of dense detection and description of 3D local features

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d1abb366-8485-4b02-8707-0e8426318e80 · outbound

This paper cites PointDSC: Ro- bust point cloud registration using deep spatial consistency.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior PointDSC: Ro- bust point cloud registration using deep spatial consistency

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e25e71df-49a6-4bf9-aadb-7b434098ba24 · outbound

This paper cites End-to-end learnable geometric vision by backpropa- gating pnp optimization.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior End-to-end learnable geometric vision by backpropa- gating pnp optimization

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a025a886-989d-4a56-b820-83009ae8c399 · outbound

This paper cites Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Fan- tasia3d: Disentangling geometry and appearance for high- quality text-to-3d content creation

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 9c82d224-0cc5-49eb-857e-2980f9bcf1aa · outbound

This paper cites Fully convolutional geometric features.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Fully convolutional geometric features

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e925d565-3be0-4d51-a12f-e0678b223b39 · outbound

This paper cites Deep global registration.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Deep global registration

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1ab64c83-65ba-4720-ab34-443727f18212 · outbound

This paper cites Deformable convolutional networks.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Deformable convolutional networks

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 754bafb9-4a25-4e93-a41f-e8fe14941730 · outbound

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

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Superpoint: Self-supervised interest point detection and description

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 215d06ca-9bfe-42fa-aa56-ad9696756c57 · outbound

This paper cites Model globally, match locally: Efficient and robust 3d object recognition.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Model globally, match locally: Efficient and robust 3d object recognition

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5290b8c2-7b35-43fe-8d43-9507925a40da · outbound

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

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior D2-net: A trainable cnn for joint description and detection of local features

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ab3f238a-6488-43c9-bd46-d4f41b108976 · outbound

This paper cites 2d3d-matchnet: Learning to match keypoints across 2d image and 3d point cloud.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior 2d3d-matchnet: Learning to match keypoints across 2d image and 3d point cloud

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 41843a38-7b6f-4d7d-ab42-9df8616c4975 · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395, 1981.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography.Communications of the ACM, 24(6):381–395, 1981

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 8f8f5b80-0d99-4c18-a3b6-f93720650037 · outbound

This paper cites Real-time rgb-d camera relocalization.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Real-time rgb-d camera relocalization

Reference 13

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d0b418f8-fd53-4829-8e1c-fbe74d0b58a6 · outbound

This paper cites The perfect match: 3D point cloud matching with smoothed densities.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior The perfect match: 3D point cloud matching with smoothed densities

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation fda1f368-0620-4cf3-bd0e-e300ab8f243d · outbound

This paper cites Multiple view ge- ometry in computer vision.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Multiple view ge- ometry in computer vision

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b060cdc8-2963-4aea-9567-24e16aebea47 · outbound

This paper cites Deep residual learning for image recognition.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Deep residual learning for image recognition

Reference 16

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Observation d077ae99-0816-4a0d-b08f-3132a4278149 · outbound

This paper cites Densely connected convolutional net- works.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Densely connected convolutional net- works

Reference 17

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3d33b964-0957-4dac-bb62-a58608a65c50 · outbound

This paper cites Predator: Registration of 3D point clouds with low overlap.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Predator: Registration of 3D point clouds with low overlap

Reference 18

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0c716f4d-1c6a-4566-b42d-7bfade8ae212 · outbound

This paper cites Contrastive learning of features between images and lidar.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Contrastive learning of features between images and lidar

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 257947db-ada8-4b8c-9bfb-bd762a30101c · outbound

This paper cites Auto-Encoding Variational Bayes.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Auto-Encoding Variational Bayes

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ea95e8ac-5544-49a0-81c4-27ec71457464 · outbound

This paper cites Unsupervised fea- ture learning for 3d scene labeling.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Unsupervised fea- ture learning for 3d scene labeling

Reference 21

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3184187d-967c-4cf7-820a-d2c3e8601db7 · outbound

This paper cites Patchmatch-based neighborhood consensus for se- mantic correspondence.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Patchmatch-based neighborhood consensus for se- mantic correspondence

Reference 22

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raw_fallback, observed 2026-08-06T19:05:02.199065Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 798fcb10-283c-472b-812d-612b64878bb4 · outbound

This paper cites Epnp: An accurate o(n) solution to the pnp problem.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Epnp: An accurate o(n) solution to the pnp problem

Reference 23

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f98b61d2-413e-4273-b2df-bbad97bad9fe · outbound

This paper cites Deepi2p: Image-to-point cloud registration via deep classification.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Deepi2p: Image-to-point cloud registration via deep classification

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 46d0a47e-dfe7-4c32-96b2-46f0aa874cfe · outbound

This paper cites 2d3d-matr: 2d-3d matching transformer for detection-free registration between images and point clouds.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior 2d3d-matr: 2d-3d matching transformer for detection-free registration between images and point clouds

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation fd41dd7a-8abb-4a0e-af6b-623f47a9b016 · outbound

This paper cites Dual- resolution correspondence networks.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Dual- resolution correspondence networks

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation bf85052e-1076-4f9e-a487-0e339dc51290 · outbound

This paper cites Magic3d: High-resolution text-to-3d content creation.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Magic3d: High-resolution text-to-3d content creation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:02.071041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f4160b2c-70e9-4c42-b40f-3d903bd34c53 · outbound

This paper cites Feature pyramid networks for object detection.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Feature pyramid networks for object detection

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0fb0a19a-4c68-445a-a7a8-b4f71dabf528 · outbound

This paper cites Object recognition from local scale-invariant features.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Object recognition from local scale-invariant features

Reference 29

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raw_fallback, observed 2026-08-06T19:05:02.017131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.535282Z digest=sha256:f6b97497d3f4fa8839bdf91c28b14ff82110577610204ca9db8454f6c02c373c

Observation 55cd1947-01e9-44ef-95b6-9bf1cdc60389 · outbound

This paper cites Aslfeat: Learning local features of accurate shape and lo- calization.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Aslfeat: Learning local features of accurate shape and lo- calization

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.991220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.540287Z digest=sha256:d17cba7cdafedd9680d1e7a1e42deea8d7e85e05a0386246f67c29fa10513b3c

Observation f1679e76-f9b1-4d78-8f29-eb3804b6b8db · outbound

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

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Nerf: Representing scenes as neural radiance fields for view syn- thesis

Reference 31

Resolution
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raw_fallback, observed 2026-08-06T19:05:01.961465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.545339Z digest=sha256:6ad982287fbadbdbeca870db6f63df2c9eb3cdd1541c06f6bbc31208efb32c0e

Observation 4e7c7cda-f76a-4874-bdb4-4d18aad84e01 · outbound

This paper cites Colorpcr: Color point cloud registration with multi-stage geometric- color fusion.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Colorpcr: Color point cloud registration with multi-stage geometric- color fusion

Reference 32

Resolution
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raw_fallback, observed 2026-08-06T19:05:01.928695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.549516Z digest=sha256:07accc94d6d8a9715842dd7bb76daffb434236598a424e9d80ba8b157996da9b

Observation add0f1f5-e554-4e5f-b406-1d5f39ecafee · outbound

This paper cites Lf-net: Learning local features from images.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Lf-net: Learning local features from images

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.907087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.554174Z digest=sha256:d4105ef7ab90b0f10599b62717bf9b830d806d029d7b0c3821ed0f6c7f6b2c49

Observation 819a2c9a-3cdc-4538-b29e-0b26118facdd · outbound

This paper cites Lcd: Learned cross-domain descriptors for 2d-3d matching.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Lcd: Learned cross-domain descriptors for 2d-3d matching

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.845191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.559130Z digest=sha256:f34413f167eb3aab08a505cb51c9a75f7d43e533e1068802f216f5f2efbfeef6

Observation d868d81d-38b1-433b-a5fb-f8dbff38acf0 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior DreamFusion: Text-to-3D using 2D Diffusion

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:00.564587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:00.564587Z digest=sha256:5fdf253ab9dd665302831d6240bf9846329a52ab8e01d511d530e5aeae3f25cc

Observation 29fbba84-71ef-4471-a3ba-07545dd11b2d · outbound

This paper cites PointNet: Deep learning on point sets for 3D classification and segmentation.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior PointNet: Deep learning on point sets for 3D classification and segmentation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.816915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.575161Z digest=sha256:d3036d4df4b1877b80caf0d29946568be5d0470a792a7c85361307c6205d72b9

Observation 3bdba072-9436-4d54-8810-971de010d9ef · outbound

This paper cites PointNet++: Deep hierarchical feature learning on point sets in a metric space.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior PointNet++: Deep hierarchical feature learning on point sets in a metric space

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.797442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.581143Z digest=sha256:63af34f378a9791bed7e87409b490d900ff1860238fbe22681ef6418cf6b3dba

Observation ac143955-f4e4-457f-947e-961b37fd6c75 · outbound

This paper cites Geometric transformer for fast and ro- bust point cloud registration.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Geometric transformer for fast and ro- bust point cloud registration

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.744962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.588033Z digest=sha256:e8ae558b9077393b10d04d46695d6ad8abecfb046f35ce9c77a2f8a371024b9f

Observation 41e2f293-592b-4f34-bc75-33429103e038 · outbound

This paper cites Corri2p: Deep image-to-point cloud registration via dense correspondence.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Corri2p: Deep image-to-point cloud registration via dense correspondence

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.712954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.593528Z digest=sha256:38e6c350e42c8a61aa561f74e9687e362563888de7372ea9b27b85512df0990b

Observation 703ea061-dd9f-4bd9-9763-2a38caa9b346 · outbound

This paper cites R2d2: Reliable and repeatable detec- tor and descriptor.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior R2d2: Reliable and repeatable detec- tor and descriptor

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.688307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.599296Z digest=sha256:4b951ba556d4117dae1dd82c08d4ad62420608bb87c9a50efd79d7df1872ec34

Observation 6054b765-0ea9-4b26-ac41-5591d34b012f · outbound

This paper cites Neighbourhood con- sensus networks.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Neighbourhood con- sensus networks

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.647719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.606365Z digest=sha256:9db537995ad33259a513831f05353d8ab0756c5ea111b05f4cbf171286a30250

Observation 6417d227-008d-439a-99d0-e6fff8344bb1 · outbound

This paper cites Efficient neighbourhood consensus networks via submanifold sparse convolutions.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Efficient neighbourhood consensus networks via submanifold sparse convolutions

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.588058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.613244Z digest=sha256:7fb5ec5e70586476500242aabbe45b17cd926600fd6e74d5f49bc5ef389135a4

Observation 3eaf5c82-80e4-46fa-ba41-a54ec0ddff42 · outbound

This paper cites High-resolution image syn- thesis with latent diffusion models.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior High-resolution image syn- thesis with latent diffusion models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:00.620889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:00.620889Z digest=sha256:0a9be7682d745e4afb1db234237d769bec9abca51e45394508f7d7a82fb58351

Observation ae4b44e7-439b-4b90-90cb-c5fbe971bef6 · outbound

This paper cites Orb: An efficient alternative to sift or surf.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Orb: An efficient alternative to sift or surf

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.502960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.628421Z digest=sha256:9ff6b124f993c025f2d821f7a5ab157284610e09ef1187be5b0b11c018ef7bcc

Observation f3b68197-46cd-44d0-98b9-f080397df74b · outbound

This paper cites Fast point feature histograms (fpfh) for 3d registration.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Fast point feature histograms (fpfh) for 3d registration

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.468011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.635756Z digest=sha256:72f2d65d05953d4bcedbae9092702bf28d19df46bcb2e623f2832ec5048078a4

Observation 8e4be24c-ca51-4963-8c8c-918d74a48cc9 · outbound

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

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Superglue: Learning feature matching with graph neural networks

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:00.641054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:00.641054Z digest=sha256:2e30781c4ad15253a6127cad759af273d8feb7e6cada01c1ddde5941347c71d4

Observation 56df2537-434c-402d-894c-42a58c290693 · outbound

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

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Loftr: Detector-free local feature matching with transformers

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.422557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.647196Z digest=sha256:fc965fa26bc097768f3a701dd9c264551acffd3b22b1a7611fb7b9e9dd220d9c

Observation ff38dcb5-1d69-4105-b383-e1fbda2369d9 · outbound

This paper cites DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:00.653162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:00.653162Z digest=sha256:b24fd55b493bdf39442cfda882336d132da6c15ed5da9309afc74f4641b31dc8

Observation 20f2f7f4-9baf-465e-94b5-9ab816a43848 · outbound

This paper cites KpConv: Flexible and deformable con- volution for point clouds.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior KpConv: Flexible and deformable con- volution for point clouds

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.398721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.658649Z digest=sha256:9eff7f1b6b5d914a2d5ec2906452cb5049cd477929bcaef4be324c1ae42f3b1a

Observation eb3f1847-24de-47ea-a584-24a53f5366bb · outbound

This paper cites Bundle adjustment—a mod- ern synthesis.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Bundle adjustment—a mod- ern synthesis

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.375717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.663515Z digest=sha256:ff38c25a873f4a57f4fc8fa8cf687aaf8f9c09d1ffbda6407ed1cc680f80c3f7

Observation 064d0dab-7ff7-4481-b55a-53c2a3533c51 · outbound

This paper cites Sparsity invariant cnns.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Sparsity invariant cnns

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.341782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.668692Z digest=sha256:02fa66db9e596d484c71c7562d90acf040ebfd9c5c4e740e5d1170e486bb0a45

Observation 3b66e216-6036-40c4-89e4-5b7a4bda6772 · outbound

This paper cites P2-net: Joint description and detection of local features for pixel and point matching.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior P2-net: Joint description and detection of local features for pixel and point matching

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.289194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.674833Z digest=sha256:a368d03b5bd8cbd7564825f725e0a9d93a88394e5c18c496ba745a0af4a13c5d

Observation 28916a5c-5473-4644-8c18-a8a18cf9221e · outbound

This paper cites FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:00.679448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:00.679448Z digest=sha256:51bbdf22cc044c83db41af32d8d226c12d164dc180612e7082775653ffc4863e

Observation c1dc989c-32fb-491d-9c82-9a0fc99e8121 · outbound

This paper cites Diff-reg: Diffusion model in doubly stochastic matrix space for registration problem.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Diff-reg: Diffusion model in doubly stochastic matrix space for registration problem

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.267723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.684889Z digest=sha256:36ca70d3c538d6d682e0e15757ca2ccde2b1fbe011180e89aea7591f0b5c4158

Observation 743ca788-811d-4ef0-ba35-4e06ea64206f · outbound

This paper cites Efficient deformable convnets: Rethink- ing dynamic and sparse operator for vision applications.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Efficient deformable convnets: Rethink- ing dynamic and sparse operator for vision applications

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.239823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.689901Z digest=sha256:fd07f5f87e28beb25421cbb88354f077a47a5ebf173e4ef405a3444e7cd0f795

Observation fafa2319-62db-4473-9def-0ef9eb035d51 · outbound

This paper cites Sanet: Scene agnostic net- work for camera localization.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Sanet: Scene agnostic net- work for camera localization

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.217250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.696148Z digest=sha256:f00b412fd8967a7be430f57ff805bec71cd0218955999943c60bb5a39ca45a2d

Observation e7913ffa-b87c-4e19-911a-20561583408d · outbound

This paper cites Lift: Learned invariant feature transform.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Lift: Learned invariant feature transform

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.164690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.702026Z digest=sha256:a9c2a62d154469c6bda5fccc7370d43901d1025564e8ed2e8937e6bb498a661e

Observation 89a38c07-2662-4a1e-8dcc-95a169695495 · outbound

This paper cites CofiNet: Reliable coarse-to-fine correspondences for robust pointcloud registration.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior CofiNet: Reliable coarse-to-fine correspondences for robust pointcloud registration

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.146646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.711319Z digest=sha256:3ec0a9eebc8950d2a9c90819475ade8a7c62ab4638e3f7eb49018e71c2e4e1fd

Observation 753acb17-4a9a-4b17-87ab-1c17d13e1e11 · outbound

This paper cites PEAL: Prior-embedded explicit attention learn- ing for low-overlap point cloud registration.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior PEAL: Prior-embedded explicit attention learn- ing for low-overlap point cloud registration

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.128216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.716501Z digest=sha256:7d0b36a1eef30e4741e6a7c128056d3a0ef0101af3bc20f2ff15dfdf0dda8ded

Observation e38372cf-25d6-4478-8ff6-b23e27508a78 · outbound

This paper cites 3DMatch: Learning local geometric descriptors from RGB-D recon- structions.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior 3DMatch: Learning local geometric descriptors from RGB-D recon- structions

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.106757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.723564Z digest=sha256:7abd81ce5eac40e34b93c73138d7275121acd0eb00918cfb3adba2639d2551e7

Observation 03c34c14-217d-4513-bfe8-9294bf92d4a5 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Adding conditional control to text-to-image diffusion models

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.082157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.729181Z digest=sha256:a4b1dc06629091881d845859e6e0c04829c29426950f18713d452a07c7c8fe92

Observation 67d24904-e26b-4735-a862-848534628f87 · outbound

This paper cites PCR-CG: Point cloud registration via deep explicit color and geometry.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior PCR-CG: Point cloud registration via deep explicit color and geometry

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.050205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.734138Z digest=sha256:67787f52b6fa98f8d8bfbada878d8493f6bbcde7a8e04cd1d1f3095f79b695b3

Observation 02fa4b9a-177a-4fcc-82f2-43247ef04b45 · outbound

This paper cites Differentiable registration of images and lidar point clouds with voxelpoint-to-pixel matching.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Differentiable registration of images and lidar point clouds with voxelpoint-to-pixel matching

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:01.028038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.740208Z digest=sha256:558d98a476c2370511cb8d97ce70eb506bf34d2ff4fd9e3786976936684b26e1

Observation 53c54892-67fb-4f9a-b062-9ffa539e8a92 · outbound

This paper cites Patch2pix: Epipolar-guided pixel-level correspondences.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Patch2pix: Epipolar-guided pixel-level correspondences

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:00.990070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.744712Z digest=sha256:3936c244f3353a93d28bdbad58a167c1370c465680c9283901affa7a11ffda2e

Observation 7ca433a1-d751-48ea-9591-07673394da9b · outbound

This paper cites De- formable convnets v2: More deformable, better results.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior De- formable convnets v2: More deformable, better results

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:05:00.962158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T19:05:00.750025Z digest=sha256:995c26f8bddba2dc00eedbf8e9d2eb68216ae67a0e779591852953f8a1c03c76

Observation 9681a8e4-5d82-4ec8-96a4-f2d0f11d7e37 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Diff$^2$I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:00.756404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:00.756404Z digest=sha256:6128627f4aa8e7223104698a7c4bf3f2f5640421ac7ef975dc6fa40713ac15bc

Pith citing papers

No inbound Pith citation observations are available.