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Paper Citation Record · LEDGER

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

As of 21 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 2026-08-20T06:33:59.587034+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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  • verified fuzzy58
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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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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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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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.

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

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

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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.

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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

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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.

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.535282Z digest=sha256:53b9c9cdfb06a5b7da3ded71080bd490ff113052b5a72d9e606e101869634f8b

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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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.540287Z digest=sha256:67319f9f1e47587eff2b044d440eaf8faca93520f507d36975413aa8f37a6b36

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

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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=2026-08-06T19:05:00.545339Z digest=sha256:f7d93527860ad8626efe2eabb490cacdb066cb5dc41b635845aa6ffb94e4f2ff

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.549516Z digest=sha256:63332bedd5dd4ea611e1692c207af768e2307769214353fe8b82d90b56d99dae

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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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.554174Z digest=sha256:ac1b2e33622c1ca689f00dfe49f762e1edfab7ade4dbee218dc76846335110a8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.559130Z digest=sha256:f5d0c4ad66c3b63899861d15827d267e90447204556d706847779327fad34b54

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=sha256:3d0adb06167d26956a94dbefc92d7bea818cfca820d54d77254032dcce272019

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.575161Z digest=sha256:100d40187e5436b23359d4328764d9f4c3992e8e45832aeecf0adeca070b674a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.581143Z digest=sha256:18f179c110f20ea44b3bcc2b5cd84421ef37653306e6b557635fdf3d052e7103

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.588033Z digest=sha256:fc88f21eb4ca278307de788dd4ff61d166e5f3d091a7bacfdba4ac40ece3bf84

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.593528Z digest=sha256:e7eddc0f86f4accd7924bb3b45d76ef2308f74a80f4438bbbaf92ea3e43ed333

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.599296Z digest=sha256:219998e953a59e3e1a80b9a9efdf6f90b2cfb92f521efc614c4c83d2d3eb1528

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.606365Z digest=sha256:3eb1c830db00e004b5ddb21008533358f287f640464f459b43b60655576428a2

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.613244Z digest=sha256:47d40c6ab50eed0ebc8c53c06cc0796c55f7a48638b685accd6324e8619bebf5

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=sha256:70d5e53a70f12b999facaf0a4ecf9881618541f88108d7c6faecc016ae7b6426

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.628421Z digest=sha256:634b04e03fdb05fa4ec9fe74b1ed9e48c723ef2425e53c3cc6f9d02a7190937d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.635756Z digest=sha256:3e37e5f4981c0205e05d89bd4b3a1a9ac80f4f3238bf65c6097304d15b6eaf2d

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=sha256:6068265168736fb7c86b04118b588ed15701d14c0b4f4b208a5a5fb0c0a2e500

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.647196Z digest=sha256:208dc93baf1b9e2e704b9724cfead3ac2ab3b2e37f2f5d9732b63edfd39ca332

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=sha256:557ad697f00c7935cff48fe3041b0349a745778cc5870e27ff3cb017f11271b6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.658649Z digest=sha256:0c01be277cfec19f90c2893787823cef8f07380ef18096cac38eb5627d46ebc1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.663515Z digest=sha256:d04a874d19a213215d1ef54b333ecc2ab03396f5deaacdd41b3308edcc0ab94f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.668692Z digest=sha256:fbd2e888405b57346719787aae612819601c65c4f9aa36e207bf6eec7a65c0a0

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.674833Z digest=sha256:b1d10c7c44d9f9e67d8195f8804726cb24272898bb22462129e34b248cc13e75

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=sha256:6f8a63f0064e48f64718fee848ac438305deca92f2ecd3de9ff6845ffc9ec376

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.684889Z digest=sha256:494b9fb77c21f91aa7caabb8e1ce8b8d0897835f8d93e003d4f13d5dea502d66

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.689901Z digest=sha256:adbcf5fa59d9cdf234b98fc17eb031276abebf7c5b8a6e5541e6658d58087b49

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.696148Z digest=sha256:850f9d6583c6b639ed1955b781a4f16b36250f5c7208e86b2b82659ffc8a0e5c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.702026Z digest=sha256:af8e4e215a99028df1dc5eb9dc7398ec9567b5910e1a7403a6ab128c7844da1f

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.711319Z digest=sha256:600f45337e9673141344e79e19f0e897c7ac03c370d0fd04f88cb3024de1a8b6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.716501Z digest=sha256:d0c4f04c13070da4048f5bcf6feac89ff5e539ce28d72dd5775937b16423fa12

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.723564Z digest=sha256:f0a9bec20cf264daca4de6ccf073bc561f47038b085b694091730beb1af2f46c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.729181Z digest=sha256:5e27f0eb21540d21d00a8da2f59855a4ce2664cf8fde1b4aed7c71936b44224a

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.734138Z digest=sha256:1aa9437a6ec3a0d20d602d242ba5bb96a6c5511f325d651e26cac871c4199600

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.740208Z digest=sha256:398c3428fff913659227807cd5212e80348e63634a0477c4e3cd55408e3a879e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.744712Z digest=sha256:413983fdf6dfde18261c6fca6b466b4dcaf148b78175f2a8238063c5426a8069

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T19:05:00.750025Z digest=sha256:276c316dda121d8e98d03ecdaa0aa54e8c59dd2dabfdb1852ac175734908f874

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=sha256:01cce6765c1459ab127e231d3b01b66d14e251673b89e07449e6a9e928e62d36

Pith citing papers

No inbound Pith citation observations are available.