mlsanityData to 14 Oct 2026

P2P-Bridge: Diffusion Bridges for 3D Point Cloud Denoising

arXiv 2408.16325 ↗First posted 29 Aug 2024cs.CVcited by 18

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Abstract (arXiv)

In this work, we tackle the task of point cloud denoising through a novel framework that adapts Diffusion Schr"odinger bridges to points clouds. Unlike previous approaches that predict point-wise displacements from point features or learned noise distributions, our method learns an optimal transport plan between paired point clouds. Experiments on object datasets like PU-Net and real-world datasets such as ScanNet++ and ARKitScenes show that P2P-Bridge achieves significant improvements over existing methods. While our approach demonstrates strong results using only point coordinates, we also show that incorporating additional features, such as color information or point-wise DINOv2 features, further enhances the performance. Code and pretrained models are available at https://p2p-bridge.github.io.

Key facts. Cited by 18 papers in the map (data through 14 Oct 2026). Builds on 55 of its 74 references that are in the map. First posted on arXiv 29 Aug 2024.

Builds on

55 of 74 references.

References · 55

  1. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  2. 2020Denoising Diffusion Implicit Modelscited by 9,781
  3. 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,974
  4. 2017Squeeze-and-Excitation Networkscited by 4,789
  5. 2017PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Spacecited by 4,401
  6. 2019Generative Modeling by Estimating Gradients of the Data Distributioncited by 4,101
  7. 2021Improved Denoising Diffusion Probabilistic Modelscited by 3,761
  8. 2021Palette: Image-to-Image Diffusion Modelscited by 1,300
  9. 20194D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networkscited by 1,208
  10. 2020Accelerating 3D Deep Learning with PyTorch3Dcited by 784
  11. 2018Computational Optimal Transportcited by 780
  12. 2023ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenescited by 764
38 more
  1. 2021Diffusion Probabilistic Models for 3D Point Cloud Generationcited by 735
  2. 2021Diffusion Schr"odinger Bridge with Applications to Score-Based Generative Modelingcited by 602
  3. 2021NICE-SLAM: Neural Implicit Scalable Encoding for SLAMcited by 589
  4. 2022LION: Latent Point Diffusion Models for 3D Shape Generationcited by 553
  5. 20213D Shape Generation and Completion through Point-Voxel Diffusioncited by 516
  6. 2021ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Datacited by 454
  7. 2022PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategiescited by 436
  8. 2023Simple diffusion: End-to-end diffusion for high resolution imagescited by 422
  9. 2019Point-Voxel CNN for Efficient 3D Deep Learningcited by 343
  10. 20163DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructionscited by 336
  11. 2013A survey of the Schr"odinger problem and some of its connections with optimal transportcited by 292
  12. 2023OpenMask3D: Open-Vocabulary 3D Instance Segmentationcited by 289
  13. 2021Likelihood Training of Schr"odinger Bridge using Forward-Backward SDEs Theorycited by 219
  14. 2023I2SB: Image-to-Image Schr"odinger Bridgecited by 218
  15. 2018PU-Net: Point Cloud Upsampling Networkcited by 209
  16. 2023NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAMcited by 164
  17. 2020PointMixup: Augmentation for Point Cloudscited by 104
  18. 2021A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completioncited by 100
  19. 2019PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Cloudscited by 99
  20. 2021Score-Based Point Cloud Denoisingcited by 83
  21. 2024Improving 2D Feature Representations by 3D-Aware Fine-Tuningcited by 71
  22. 2024OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Viewscited by 69
  23. 2023Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation without Manual Labelscited by 64
  24. 2019Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaningcited by 58
  25. 2020RoutedFusion: Learning Real-time Depth Map Fusioncited by 52
  26. 2020Differentiable Manifold Reconstruction for Point Cloud Denoisingcited by 52
  27. 2020Pointfilter: Point Cloud Filtering via Encoder-Decoder Modelingcited by 50
  28. 2022Connecting the Dots: Floorplan Reconstruction Using Two-Level Queriescited by 49
  29. 20183D Point Cloud Denoising using Graph Laplacian Regularization of a Low Dimensional Manifold Modelcited by 47
  30. 2022Comprehensive Review of Deep Learning-Based 3D Point Cloud Completion Processing and Analysiscited by 44
  31. 2023Point-Cloud Completion with Pretrained Text-to-image Diffusion Modelscited by 37
  32. 20224D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and Aggregationcited by 35
  33. 2019Feature Graph Learning for 3D Point Cloud Denoisingcited by 28
  34. 2023IterativePFN: True Iterative Point Cloud Filteringcited by 28
  35. 20223D Segmentation of Humans in Point Clouds with Synthetic Datacited by 24
  36. 2023GECCO: Geometrically-Conditioned Point Diffusion Modelscited by 24
  37. 20193D Point Cloud Denoising via Deep Neural Network based Local Surface Estimationcited by 20
  38. 2022PD-Flow: A Point Cloud Denoising Framework with Normalizing Flowscited by 19

50 most cited of 55 All 55 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 10; 2026: 7.

18 papers.

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  1. 2025SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modelingcited by 9
  2. 2024ARKit LabelMaker: A New Scale for Indoor 3D Scene Understandingcited by 7
  3. 2025Efficient Point Clouds Upsampling via Flow Matchingcited by 4
  4. 2025Terra: Explorable Native 3D World Model with Point Latentscited by 4
  5. 2025U-CAN: Unsupervised Point Cloud Denoising with Consistency-Aware Noise2Noise Matchingcited by 3
  6. 2026GGPT: Geometry Grounded Point Transformercited by 3
  7. 2026PhaseFlow4D: Physically Constrained 4D Beam Reconstruction via Feedback-Guided Latent Diffusioncited by 3
  8. 2025BridgeShape: Latent Diffusion Schr"odinger Bridge for 3D Shape Completioncited by 1
  9. 2025Deep Learning For Point Cloud Denoising: A Surveycited by 1
  10. 2025Gait Recognition via Collaborating Discriminative and Generative Diffusion Modelscited by 1
  11. 2025Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communicationscited by 1
  12. 2025HouseLayout3D: A Benchmark and Training-Free Baseline for 3D Layout Estimation in the Wildcited by 1
6 more
  1. 2025A Survey of Deep Learning-based Point Cloud Denoisingcited by 0
  2. 2026CompoSE: Compositional Synthesis and Editing of 3D Shapes via Part-Aware Controlcited by 0
  3. 2026SIMPC: Learning Self-Induced Mirror-Point Consistency for Unsupervised Point Cloud Denoisingcited by 0
  4. 2026RODR: Riemannian Orthogonally Decoupled Regularization for Disentangled Manifold Representationcited by 0
  5. 2026BridgeMatch: Conditional Transport Bridges in Matching Matrix Space for 3D Deformable Registrationcited by 0
  6. 2026Levy-Driven Correspondence Estimation for Registrationcited by 0