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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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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raw_fallback, observed 2026-08-06T19:05:02.432204Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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.

source=pdf_text observed=2026-08-06T19:04:59.553784Z digest=sha256:6e98ff5439245cbab4249d442b294824e1b7d2b398a24b93b912726e9101e629

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.535282Z digest=sha256:a0e294dc046cf207e8a688081540f7e791f0d425c3bff18b3846fb9e210a1592

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.540287Z digest=sha256:c4214a06fc725138de53af6b7a07658e9a3423549eb8c8820a53d0c1331c09a7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.545339Z digest=sha256:515734c8f00b84dfe89736801f4ee7ff395ccbf85817db9b62dbbf21a2cd6a83

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.549516Z digest=sha256:2d795c5d87780eb0c6bab09123e1b0241264c78f8e963cde971ea825fe78a975

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.554174Z digest=sha256:f64b2c596e1caa13763ac1bffc8b153d20db5c37af2787c6015e3103ca5a9869

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.559130Z digest=sha256:cc20a8748b087c6f1d78a67a84a0ab590f04868b9571a1ec4544ed04d869cbbe

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.575161Z digest=sha256:75dc6308b1fc1b75629bfcd1817dac212ad804b6165d38305fc442c2711d39c6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.581143Z digest=sha256:1b7a4dc88d5895f11b868d213e9928adf7b50ce86b2f8e00f26721f90aee013b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.588033Z digest=sha256:cdcd1f196f46a50e29f4d449190976f9a1be5ddf8f75756126e02ec6a39af50c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.593528Z digest=sha256:39fa88ef0219debccc21eaac504d5f39dd6f63e421f96617dc3cba4b6ed726a1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.599296Z digest=sha256:ee4aa2b0426e711cb7c4da4d4aa8ab2550c24581f1c276b6d640e6508c445607

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.606365Z digest=sha256:e37976c5bea95ad5439b7abd04ff51ea1e56c5f4cf35fc46d4bb51bb0013c141

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.613244Z digest=sha256:aad648ac6a815b23b9e03afc25db54403fda58fabb1d342ca41717b468d2af7e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.628421Z digest=sha256:23f3d8b1450815915d53c8fb0903c76425389b411e3b5addcbcab7f0148d4ec0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.635756Z digest=sha256:a0ae6a815fee2c9e5e045757280440c6a5eeb868e77bf1faeb18eb5218179d10

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.647196Z digest=sha256:40054d58a661a4d9b4dfef17f10f85738a7e9d769aa12b214fdb1cbbfc0976ec

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.658649Z digest=sha256:000e867d19220cdfc5bd79337f51dbab3588c7fc59649ff5952ff10ada3d6734

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.663515Z digest=sha256:390755e4eb9d754213b8eebc61247521b230235a3cdfaa37a78a951c420d9599

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.668692Z digest=sha256:946199ff31215f24b6c15b374b80154361f80b8a402ce82a2d052fd8e9b50930

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.674833Z digest=sha256:b4b3a5e02fa30c6d6f06922dcf207be87b868c0523774e9bd7ff28263d36592d

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:cafa960bb51009943289eee3793b5017ffba8349517495a14208ab0ac0d89d4d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.684889Z digest=sha256:82dde1283e1c56c4c22c59f6017e2b6b6ec723f10a73d9d54eb7d9917c0dbad7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.689901Z digest=sha256:cbc80df4969ab48718285237d037cc93432e51e6c46170023171f650df08f223

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.696148Z digest=sha256:d68f4c770f07e44a067e59b3dedf8f46f3f412640a54cecf89d8e0886d97452c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.702026Z digest=sha256:dd5caf85c8165f857c551f500fd8a64d3691b0fbfc138bfbf2b36dd97e27e51e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.711319Z digest=sha256:b86a3b3d5c1d1f058c64c7f150339ee220231aa4456e198d70c83ea17760f321

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.716501Z digest=sha256:7d22a5cdcb2fb98ec1fd53757d6dd27146a6a6c053a99ab2f4b93747837fa6a5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.723564Z digest=sha256:cf30047e0e3c65261a879aa3f6998b737efdc22da3f66a9cb1ea055ea0d026a0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.729181Z digest=sha256:98a37cb480d78330b7b53be1c9c8c5846bbe47cda8b08c4d8f3fc83a088584ad

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.734138Z digest=sha256:c4dc43a0e61b524cab525e5c3acdabadac7846b3080def9e0cde73561793abce

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.740208Z digest=sha256:6110541ec02424c86f49039c91e83757fb9a7fe8139395e2f5779383d7e355cb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.744712Z digest=sha256:e707871e2068bf86aae642d973bf33255ee40c2dac9502683ba8cc97ba146f3c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T19:05:00.750025Z digest=sha256:cf12421b4e231a395fd82129caef2ced6dea4fb5c49f9581ea6e8edd380dcba0

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.