RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning | Paper Citation Record

Observation f6296bd0-cbbf-43a3-9e26-d3664b265056 · outbound

This paper cites BUFFER: balancing accuracy, efficiency, and gener- alizability in point cloud registration.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning BUFFER: balancing accuracy, efficiency, and gener- alizability in point cloud registration

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:44.061900Z

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Observation 18a43ab8-34e1-43d2-832d-51fbf91a42b2 · outbound

This paper cites Pointdsc: Robust point cloud registration using deep spatial consistency.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Pointdsc: Robust point cloud registration using deep spatial consistency

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:44.054585Z

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Observation f6b92059-6df8-470a-ad32-810e136e1d00 · outbound

This paper cites Bootstrap your own correspondences.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Bootstrap your own correspondences

Reference 3

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Observation 754791a0-5d12-42e6-963b-289fdbb4f339 · outbound

This paper cites Graph-cut RANSAC.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Graph-cut RANSAC

Reference 4

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Observation 73451057-de45-48ac-ac11-d3f9e4d84d2d · outbound

This paper cites Imlovenet: Misaligned image-supported regis- tration network for low-overlap point cloud pairs.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Imlovenet: Misaligned image-supported regis- tration network for low-overlap point cloud pairs

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:44.032640Z

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Observation c72b752b-ee19-4606-9ac6-26b47e685e65 · outbound

This paper cites Diffu- siondet: Diffusion model for object detection.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Diffu- siondet: Diffusion model for object detection

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:44.025140Z

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Observation f80c527e-f299-44ae-9fb9-8afcc22d6270 · outbound

This paper cites Hinton, and David J.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Hinton, and David J

Reference 7

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Observation 8a95192f-af8e-488f-8ad3-c637c15f9a92 · outbound

This paper cites Sc 2-pcr: A second order spatial compatibility for efficient and robust point cloud registration.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Sc 2-pcr: A second order spatial compatibility for efficient and robust point cloud registration

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:44.011256Z

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Observation 20ef1824-0318-4e82-840f-d422cc7a6d49 · outbound

This paper cites Sc2-pcr++: Rethinking the generation and selection for ef- ficient and robust point cloud registration.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Sc2-pcr++: Rethinking the generation and selection for ef- ficient and robust point cloud registration

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:44.003997Z

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Observation 13bef193-d7a5-444a-b042-71ba95df5535 · outbound

This paper cites Choy, Jaesik Park, and Vladlen Koltun.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Choy, Jaesik Park, and Vladlen Koltun

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.996836Z

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Observation 805a6a6b-a6e2-468f-a5e9-fb2b4226240a · outbound

This paper cites Diffusion models beat gans on image synthesis.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Diffusion models beat gans on image synthesis

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.989614Z

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Observation 51d1e09a-85c8-4dd9-a81f-d9c68acd28eb · outbound

This paper cites Tam- ing transformers for high-resolution image synthesis.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Tam- ing transformers for high-resolution image synthesis

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.982678Z

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Observation 80ef28e9-44a3-4a9f-8152-116881422062 · outbound

This paper cites Fischler and Robert C.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Fischler and Robert C

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.975616Z

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Observation 36c1d977-170e-48b9-83db-e0280eae1952 · outbound

This paper cites Are we ready for autonomous driving? the KITTI vision benchmark suite.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Are we ready for autonomous driving? the KITTI vision benchmark suite

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.968670Z

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Observation 9c4b4970-0b95-4e9e-9bba-347ab75d7a16 · outbound

This paper cites 3d object recognition in cluttered scenes with local surface features: A survey.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning 3d object recognition in cluttered scenes with local surface features: A survey

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.960942Z

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Observation 2d2501d1-c6d5-4d6d-8c3b-042c78d6f621 · outbound

This paper cites Denoising dif- fusion probabilistic models.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Denoising dif- fusion probabilistic models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.953833Z

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Observation 49d3a23f-280a-48f5-bdf4-e1c2f6b7b697 · outbound

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

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Predator: Registration of 3d point clouds with low overlap

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.946694Z

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Observation 5047d8b9-31c9-4e53-8d94-6616be95f51b · outbound

This paper cites Psreg: Prior-guided sparse mixture of experts for point cloud regis- tration.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Psreg: Prior-guided sparse mixture of experts for point cloud regis- tration

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.939295Z

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Observation 3d3d0c66-5712-462d-bb54-4cc0589a106f · outbound

This paper cites Robust outlier rejection for 3d reg- istration with variational bayes.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Robust outlier rejection for 3d reg- istration with variational bayes

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.931975Z

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Observation ca6cb876-b8c1-4c6b-b891-9f1678019ad3 · outbound

This paper cites Zero-shot rgb-d point cloud registration with pre- trained large vision model.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Zero-shot rgb-d point cloud registration with pre- trained large vision model

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.924301Z

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Observation 209ebb1e-7f92-460d-937d-9dd1abb84282 · outbound

This paper cites Difnet: Semantic segmentation by diffusion networks.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Difnet: Semantic segmentation by diffusion networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.916930Z

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Observation 434da730-05b8-4f8b-b549-7f0e6d3b224a · outbound

This paper cites Johnson and Martial Hebert.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Johnson and Martial Hebert

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.908819Z

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Observation f0bfda88-2d13-4dde-8574-a4b23fd5a1fb · outbound

This paper cites Le, Thanh-Toan Do, Tuan Hoang, and Ngai-Man Cheung.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Le, Thanh-Toan Do, Tuan Hoang, and Ngai-Man Cheung

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.901602Z

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Observation 57a4d070-56d7-44b9-8a25-be9a951495d1 · outbound

This paper cites Gesac: Robust graph enhanced sample consensus for point cloud registra- tion.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Gesac: Robust graph enhanced sample consensus for point cloud registra- tion

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.894312Z

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Observation d5ace49c-6161-4468-a1ec-9fcb1d2afc0c · outbound

This paper cites Density-invariant features for distant point cloud registration.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Density-invariant features for distant point cloud registration

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.887241Z

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Observation cae0000e-8917-4e33-8e64-81c2e7958315 · outbound

This paper cites Extend your own correspondences: Unsupervised distant point cloud registration by progressive distance extension.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Extend your own correspondences: Unsupervised distant point cloud registration by progressive distance extension

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.880225Z

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Observation caf1c0a4-2b33-4d56-93af-2bcc2e6a5650 · outbound

This paper cites Overlap-guided gaussian mix- ture models for point cloud registration.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Overlap-guided gaussian mix- ture models for point cloud registration

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.872899Z

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Observation 6378aa6a-a23e-4c09-82cb-f944bb639011 · outbound

This paper cites Unsu- pervised deep probabilistic approach for partial point cloud registration.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Unsu- pervised deep probabilistic approach for partial point cloud registration

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.865834Z

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Observation 7a77c3cf-3892-4c81-b92c-6c61c5eb351d · outbound

This paper cites Mian, Mohammed Bennamoun, and Robyn A.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Mian, Mohammed Bennamoun, and Robyn A

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.858371Z

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Observation 37314a82-e3c6-487c-a30c-9e2d4d84c611 · outbound

This paper cites Kim, and Niloy J.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Kim, and Niloy J

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.851033Z

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Observation 2fada22b-4b2c-47c9-a5ac-ec8c383118fc · outbound

This paper cites Geometric transformer for fast and robust point cloud registration.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Geometric transformer for fast and robust point cloud registration

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.843821Z

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Observation a39e9431-e23a-4736-af5e-9598f538fbbd · outbound

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

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning High-resolution image syn- thesis with latent diffusion models

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.836151Z

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Observation 0f435e4b-bc18-4f83-97c6-dfc5c5a8de9f · outbound

This paper cites Aligning point cloud views using persistent feature histograms.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Aligning point cloud views using persistent feature histograms

Reference 33

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Observation 78b2156e-51f9-4b5a-9ff0-98995b388162 · outbound

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

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Fast point feature histograms (FPFH) for 3d registration

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.821746Z

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Observation 6c7877ac-6226-4da2-8dc6-ed97d0126df2 · outbound

This paper cites Lee, Jonathan Ho, Tim Salimans, David J.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Lee, Jonathan Ho, Tim Salimans, David J

Reference 35

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Observation 52affd16-26d9-4cfc-bc8b-49c3a92e0382 · outbound

This paper cites Buffer-x: Towards zero-shot point cloud registration in diverse scenes.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Buffer-x: Towards zero-shot point cloud registration in diverse scenes

Reference 36

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Observation fcab6d85-918a-4633-a7f6-f6046ee7e406 · outbound

This paper cites Semantic diffusion network for semantic segmentation.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Semantic diffusion network for semantic segmentation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.803601Z

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Observation b3302599-b7e5-485e-9e5a-b8f03876ed33 · outbound

This paper cites Emergent correspondence from image diffusion.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Emergent correspondence from image diffusion

Reference 38

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Observation 261df595-aeb3-4d20-b235-c48dece0fae5 · outbound

This paper cites You only hypothesize once: Point cloud registration with rotation-equivariant descriptors.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning You only hypothesize once: Point cloud registration with rotation-equivariant descriptors

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.789020Z

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Observation 21a35dc8-5cc6-458f-89b7-b6ac43c1e99c · outbound

This paper cites Freereg: Image- to-point cloud registration leveraging pretrained diffusion models and monocular depth estimators.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Freereg: Image- to-point cloud registration leveraging pretrained diffusion models and monocular depth estimators

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.781232Z

Source-reported events for the cited work

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Observation 53628574-af29-47ca-843e-57e41d447d5f · outbound

This paper cites ZeroReg: Zero-Shot Point Cloud Registration with Foundation Models.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning ZeroReg: Zero-Shot Point Cloud Registration with Foundation Models

Reference 41

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Observation aea743a4-09b4-4103-a35d-f7e758bf0424 · outbound

This paper cites Back to 3d: Few-shot 3d keypoint detection with back-projected 2d features.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Back to 3d: Few-shot 3d keypoint detection with back-projected 2d features

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.773843Z

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Observation 2fb5805c-2739-4ab8-b45b-b02df17a5644 · outbound

This paper cites MAC: max- imal cliques for 3d registration.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning MAC: max- imal cliques for 3d registration

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.766293Z

Source-reported events for the cited work

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Observation 7b59a2d7-df2c-4f63-85ff-f4bfaafaab2d · outbound

This paper cites Rpm-net: Robust point matching using learned features.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Rpm-net: Robust point matching using learned features

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.758852Z

Source-reported events for the cited work

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Observation aef52612-8c53-42ac-8b41-4d7b71cea4b1 · outbound

This paper cites REGTR: end-to-end point cloud correspondences with transformers.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning REGTR: end-to-end point cloud correspondences with transformers

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.751457Z

Source-reported events for the cited work

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Observation a51ea140-375f-4422-868b-1aa2f71ad7c7 · outbound

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

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Cofinet: Reliable coarse-to-fine correspondences for robust pointcloud registration

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.743839Z

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.

Observation 94a9d8c6-3fbf-4407-8a1c-a0c7db660d1a · outbound

This paper cites Exploring self-supervised learning for 3d point cloud registration.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Exploring self-supervised learning for 3d point cloud registration

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.735618Z

Source-reported events for the cited work

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Observation 737a369a-0ae8-4341-a7ef-ed7d4f6ca97d · outbound

This paper cites Funkhouser.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Funkhouser

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.728028Z

Source-reported events for the cited work

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Observation 9945351e-5586-4a48-adec-de6582391aaf · outbound

This paper cites A tale of two features: Stable diffusion complements DINO for zero-shot semantic correspondence.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning A tale of two features: Stable diffusion complements DINO for zero-shot semantic correspondence

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.720509Z

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Observation 1a947d8a-2050-4ad9-b8f9-06d0af7ff3e3 · outbound

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

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Adding conditional control to text-to-image diffusion models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.712974Z

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.

Observation 6b093315-318c-4782-b127-d3a320c7af3c · outbound

This paper cites Fastmac: Stochastic spectral sampling of correspondence graph.

RARE: Refine Any Registration of Pairwise Point Clouds via Zero-Shot Learning Fastmac: Stochastic spectral sampling of correspondence graph

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:55:43.704900Z

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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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Pith citing papers