Alternatives and similar repositories for rcp

Users that are interested in rcp are comparing it to the libraries listed below

• IRMVLab / 3DFlow
  Codes for ECCV2022 paper "What matters in supervised 3D scene flow"
  ☆43Updated 2 years ago
• ZhangYushan3 / GMSF
  [NeurIPS 2023] GMSF: Global Matching Scene Flow
  ☆42Updated last year
• vLAR-group / RangeUDF
  🆕RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds
  ☆48Updated last year
• kavisha725 / MBNSF
  [3DV 2024] Repository for "Multi-Body Neural Scene Flow", in International Conference on 3D Vision 2024.
  ☆14Updated last year
• yuvalH9 / UMERegRobust
  [ECCV 2024] UMERegRobust - Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration
  ☆61Updated 5 months ago
• SJingjia / PlaneRecTR
  PlaneRecTR: Unified Query Learning for 3D Plane Recovery from a Single View
  ☆43Updated 8 months ago
• Jiang-HB / VBReg
  Robust Outlier Rejection for 3D Registration with Variational Bayes (Accepted by CVPR-2023)
  ☆39Updated 5 months ago
• itailang / SCOOP
  Self-Supervised Correspondence and Optimization-Based Scene Flow (CVPR 2023)
  ☆61Updated last year
• craigleili / WSDesc
  WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration (TVCG 2022)
  ☆17Updated 3 years ago
• valeoai / PCAM
  ☆31Updated 2 years ago
• Crane-YU / rethink_rotation
  [AAAI 2023] Rethinking Rotation Invariance with Point Cloud Registration (official pytorch implementation) https://rotation3d.github.io/
  ☆27Updated 2 years ago
• jokester-zzz / SSA-SC
  Implementation of IROS21 paper - "Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds"
  ☆29Updated 2 years ago
• Xiangxu-0103 / SuperFlow
  [ECCV 2024] 4D Contrastive Superflows are Dense 3D Representation Learners
  ☆46Updated 2 months ago
• pengsongyou / lseg_feature_extraction
  ☆44Updated last year
• ZhangYushan3 / DiffSF
  [NeurIPS 2024] DiffSF: Diffusion Models for Scene Flow Estimation
  ☆26Updated 4 months ago
• cwchenwang / outdoor-nerf-depth
  [ACM MM 2023] Digging into Depth Priors for Outdoor Neural Radiance Fields
  ☆50Updated last year
• wuqianliang / Diff-Reg
  [ECCV 2024] Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem
  ☆24Updated 4 months ago
• Runsong123 / PCF-Lift
  Code Release for ECCV 2024, "PCF-Lift: Panoptic Lifting by Probabilistic Contrastive Fusion"
  ☆19Updated 2 months ago
• Karbo123 / segmentator
  Segmentator for clustering on meshes or pointclouds
  ☆48Updated 6 months ago
• IRMVLab / DifFlow3D
  [CVPR 2024] DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement
  ☆55Updated 8 months ago
• Lilac-Lee / FastNSF
  Fast Neural Scene Flow (ICCV 2023)
  ☆74Updated last year
• auniquesun / ViPFormer
  [ICRA 2023] Official implementation of the paper "ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Unde…
  ☆23Updated 3 weeks ago
• ZhiChen902 / SC2-PCR-plusplus
  SC^2-PCR++: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration (TPAMI)
  ☆57Updated last year
• Jabb0 / FastFlow3D
  Implementation of the FastFlow3D architecture for scene flow estimation from LiDAR point clouds in PyTorch using PyTorch Lightning.
  ☆35Updated 2 years ago
• WHU-USI3DV / CityAnchor
  [ICLR'25] [3D-LLM] City-scale 3D Visual Grounding with Multi-modality LLMs
  ☆47Updated 2 weeks ago
• Yan-Xia / SOE-Net
  The codes for CVPR2021 Oral paper 'SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud based Place Recognition'
  ☆40Updated 4 years ago
• ashawkey / dimr
  [ECCV 2022] Disentangled Instance Mesh Reconstruction
  ☆33Updated 2 years ago
• fengziyue / CVRecon
  Official Implementation of CVRecon: Rethinking 3D Geometric Feature Learning For Neural Reconstruction
  ☆38Updated last year
• ZhiChen902 / DetarNet
  DetarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration (AAAI2022)
  ☆26Updated 3 years ago
• ethz-asl / ucsa_neural_rendering
  [CVPR 2023] Unsupervised Continual Semantic Adaptation through Neural Rendering
  ☆39Updated last year