GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion | Paper Citation Record

Observation ec2df113-435f-4a19-bc46-1eb0211259d4 · outbound

This paper cites Dreg-nerf: Deep registration for neural radiance fields.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Dreg-nerf: Deep registration for neural radiance fields

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.051121Z

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Observation 73098ea5-c8ed-401f-bdfa-d34a9ae1781f · outbound

This paper cites Image-to-lidar self-supervised distillation for autonomous driving data.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Image-to-lidar self-supervised distillation for autonomous driving data

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.009105Z

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Observation fd689538-ed00-48a2-9e75-75bbb6bb1466 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics., 42(4):139–1.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion 3d gaussian splatting for real-time radiance field rendering.ACM Transactions on Graphics., 42(4):139–1

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:28.998377Z

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Observation d6126524-3da4-4900-9554-6238c9ffbda7 · outbound

This paper cites CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:51:09.638413Z

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Observation 754e099e-4d84-4507-86c9-12dd187e768b · outbound

This paper cites Nice-slam: Neural implicit scalable encoding for slam.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Nice-slam: Neural implicit scalable encoding for slam

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.056332Z

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No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation f1936506-347a-4167-b128-bf37e8371264 · outbound

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

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Regtr: End-to-end point cloud correspondences with transformers

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.087252Z

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Observation edb4f8e9-9315-4ac7-8365-de39ab2f4ae9 · outbound

This paper cites Spinnet: Learning a general surface descriptor for 3d point cloud registration.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Spinnet: Learning a general surface descriptor for 3d point cloud registration

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.079886Z

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Observation 10c1c8ac-2984-4261-863e-7d04e5530127 · outbound

This paper cites Fully convolutional geometric features.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Fully convolutional geometric features

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:28.996058Z

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No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 7c63dd5c-ae52-44dd-92f7-0481d20c1a43 · outbound

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

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion D3feat: Joint learning of dense detection and description of 3d local features

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:28.991717Z

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No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation f00c5ce9-c76f-4608-b20f-7897e177b34c · outbound

This paper cites Ppfnet: Global context aware local features for robust 3d point matching.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Ppfnet: Global context aware local features for robust 3d point matching

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:28.984548Z

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No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 0b30081c-8e8d-4a32-8e82-8fa25fc3dd0e · outbound

This paper cites Feature-metric registration: A fast semi-supervised approach for robust point cloud registration without correspondences.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Feature-metric registration: A fast semi-supervised approach for robust point cloud registration without correspondences

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.040857Z

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No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 06aa228f-9d4b-4d8a-a382-1cdc4bbca0c1 · outbound

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

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Loftr: Detector-free local feature matching with transformers

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.053764Z

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Observation 1e16f0a2-4a1e-4329-9fa1-3368866bb1cc · outbound

This paper cites Patch2pix: Epipolar-guided pixel-level correspon- dences.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Patch2pix: Epipolar-guided pixel-level correspon- dences

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.059123Z

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No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation ab83b5ce-93d6-4628-8abb-13655c8467c8 · outbound

This paper cites 3d registration with maximal cliques.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion 3d registration with maximal cliques

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.061574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation b150796f-a60f-45a6-8dbf-386c848587d3 · outbound

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

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Geometric transformer for fast and robust point cloud registration

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:28.986986Z

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Observation 649250f1-f7a9-4845-bf46-f5aa9712f111 · outbound

This paper cites Robust point cloud registration framework based on deep graph matching.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Robust point cloud registration framework based on deep graph matching

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.026258Z

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Observation ed46ac7d-d468-4f55-bab7-3f7a9a46a72a · outbound

This paper cites Deepgmr: Learning latent gaussian mixture models for registration.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Deepgmr: Learning latent gaussian mixture models for registration

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.033136Z

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Observation 2014c849-2eeb-446b-8b8b-28224e7695b9 · outbound

This paper cites Deep global registration.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Deep global registration

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.038058Z

Source-reported events for the cited work

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Observation bfcfe402-1c0d-4045-8c0e-81758a869510 · outbound

This paper cites Peal: Prior-embedded explicit attention learning for low-overlap point cloud registration.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Peal: Prior-embedded explicit attention learning for low-overlap point cloud registration

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.011694Z

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Observation 887be62d-df5f-4792-8a18-1ceead333f08 · outbound

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

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Colorpcr: Color point cloud registration with multi-stage geometric-color fusion

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.072534Z

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Observation d7071df3-0a1f-43e4-9e50-7b43d40fb5f3 · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Lora: Low-rank adaptation of large language models.ICLR, 1(2):3

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.067108Z

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Observation a3eed5c6-3663-4ce5-9401-e99ebc8fc937 · outbound

This paper cites Besl and Neil D.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Besl and Neil D

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:28.976620Z

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No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 6c997157-a4c5-46a2-9a2e-4a7f4513720c · outbound

This paper cites Fully convolutional geometric features.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Fully convolutional geometric features

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.043234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 3fbfdece-ed65-4789-b772-b5641156c3a2 · outbound

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

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Pointdsc: Robust point cloud registration using deep spatial consistency

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.035967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation b9a0e5df-28a2-4871-91a4-08fb661f41cf · outbound

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

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion The perfect match: 3d point cloud matching with smoothed densities

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.064081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation dd61e008-a2fb-47fa-8bb0-e55843a19737 · outbound

This paper cites Joint alignment of multiple point sets with batch and incremental expectation-maximization.IEEE transactions on pattern analysis and machine intelligence, 40(6):1397–1410.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Joint alignment of multiple point sets with batch and incremental expectation-maximization.IEEE transactions on pattern analysis and machine intelligence, 40(6):1397–1410

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.017108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 73274c01-e42f-4364-adaa-42df92e420ab · outbound

This paper cites Unsupervised point cloud registration by learning unified gaussian mixture models.IEEE Robotics and Automation Letters, 7(3):7028–7035.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Unsupervised point cloud registration by learning unified gaussian mixture models.IEEE Robotics and Automation Letters, 7(3):7028–7035

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.045882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 66a3a192-1344-418d-ac20-fba9126527dc · outbound

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

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Predator: Registration of 3d point clouds with low overlap

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.069621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 31c4d8df-1330-40bb-b051-6d24027361ad · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Pointnet: Deep learning on point sets for 3d classification and segmentation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.021633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 674763d5-df2c-4356-8759-1866139c789a · outbound

This paper cites Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Advances in neural information processing systems, 30.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Pointnet++: Deep hierarchical feature learning on point sets in a metric space.Advances in neural information processing systems, 30

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.048592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 9fd84b11-0efb-48f5-a052-d154b706768b · outbound

This paper cites Feature pyramid networks for object detection.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Feature pyramid networks for object detection

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:28.993815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation b8b77787-7f53-41f0-8e9e-e619edd0b96e · outbound

This paper cites Kpconv: Flexible and deformable convolution for point clouds.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Kpconv: Flexible and deformable convolution for point clouds

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.028437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation bc6c74e9-4844-45d4-bde6-373553646134 · outbound

This paper cites Bootstrap your own correspondences.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Bootstrap your own correspondences

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:28.979692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 34818f3b-ca1b-4de3-93f4-1c7cf27af57b · outbound

This paper cites Improving rgb-d point cloud registration by learning multi-scale local linear transformation.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Improving rgb-d point cloud registration by learning multi-scale local linear transformation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.019310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 73478415-0ec7-4bde-9f0f-5d75b5bd20e1 · outbound

This paper cites Pointmbf: A multi-scale bidirectional fusion network for unsupervised rgb-d point cloud registration.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Pointmbf: A multi-scale bidirectional fusion network for unsupervised rgb-d point cloud registration

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.077487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 0456f34f-5042-479e-97d4-1212d7c3892d · outbound

This paper cites Pcr-cg: Point cloud registration via deep explicit color and geometry.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Pcr-cg: Point cloud registration via deep explicit color and geometry

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.023997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation e4a658cf-2d28-44b4-9bdc-8626a7dc8a82 · outbound

This paper cites Colored point cloud registration revisited.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Colored point cloud registration revisited

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.030721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 1ace625f-adaa-40ba-88f9-783bbbdf804e · outbound

This paper cites Color point cloud registration with 4d icp algorithm.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Color point cloud registration with 4d icp algorithm

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.074905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 6b87098b-ad09-4066-81a4-560ce0e571b1 · outbound

This paper cites Control color: Multimodal diffusion-based interactive image colorization: Z.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Control color: Multimodal diffusion-based interactive image colorization: Z

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.089444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 0691bc93-6153-4422-9798-5bf0534fce81 · outbound

This paper cites Blind quality assessment of dense 3d point clouds with structure guided resampling.ACM Transactions on Multimedia Computing, Communications and Applications, 20(8):1–21.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Blind quality assessment of dense 3d point clouds with structure guided resampling.ACM Transactions on Multimedia Computing, Communications and Applications, 20(8):1–21

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.014219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation d0d39dbd-38a0-4074-ba5d-9a8b77bb61e5 · outbound

This paper cites 4d gaussian splatting for real-time dynamic scene rendering.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion 4d gaussian splatting for real-time dynamic scene rendering

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.006571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation ae6497f7-215b-4669-b5f5-6317ca365cff · outbound

This paper cites Mip-splatting: Alias-free 3d gaussian splatting.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Mip-splatting: Alias-free 3d gaussian splatting

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:28.982326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 6387558a-ee9f-43d6-b063-acef7c585716 · outbound

This paper cites Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Dynamic 3d gaussians: Tracking by persistent dynamic view synthesis

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.000958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation f95e9665-3993-42c5-91b4-71b832659ca9 · outbound

This paper cites Cofinet: Reliable coarse-to-fine correspondences for robust pointcloud registration.Advances in Neural Information Processing Systems, 34:23872–23884.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Cofinet: Reliable coarse-to-fine correspondences for robust pointcloud registration.Advances in Neural Information Processing Systems, 34:23872–23884

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:28.989150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation a05de367-dade-4c83-9cba-265edc6c599f · outbound

This paper cites 3dfeat-net: Weakly supervised local 3d features for point cloud registration.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion 3dfeat-net: Weakly supervised local 3d features for point cloud registration

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:45:29.082413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 0570d387-58a5-4938-9a87-402855f5b9bc · outbound

This paper cites Hregnet: A hierarchical network for large-scale outdoor lidar point cloud registration.

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion Hregnet: A hierarchical network for large-scale outdoor lidar point cloud registration

Reference 46

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

GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion You only hypothesize once: Point cloud registration with rotation-equivariant descriptors

Reference 47

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