Alternatives and similar repositories for ocnn-pytorch

Users that are interested in ocnn-pytorch are comparing it to the libraries listed below

• octree-nn / octformer
  OctFormer: Octree-based Transformers for 3D Point Clouds [SIGGRAPH 2023]
  ☆333Updated 4 months ago
• AllenXiangX / SnowflakeNet
  (TPAMI 2023) Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer
  ☆189Updated last year
• chenzhik / AnchorFormer
  ☆46Updated last year
• valeoai / POCO
  [CVPR 2022] POCO: Point Convolution for Surface Reconstruction
  ☆218Updated 2 years ago
• wutong16 / Density_aware_Chamfer_Distance
  [ NeurIPS 2021 ] Pytorch implementation for "Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion"
  ☆162Updated 3 years ago
• rsy6318 / GeoUDF
  [ICCV 2023] GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance Representation
  ☆117Updated 4 months ago
• yunhe20 / Grad-PU
  This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learn…
  ☆84Updated 2 years ago
• mabaorui / NeuralPull-Pytorch
  Implementation of ICML'2021:Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces
  ☆77Updated last year
• SimingYan / IAE
  [ICCV 2023] "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"
  ☆103Updated 3 months ago
• czvvd / SVDFormer_PointSea
  [ICCV 2023 & IJCV 2025] SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator
  ☆73Updated 2 weeks ago
• SLIDE-3D / SLIDE
  Controllable Point Cloud and Mesh Generation
  ☆120Updated 2 years ago
• otaheri / chamfer_distance
  Implementation of the Chamfer Distance as a module for PyTorch
  ☆180Updated 2 years ago
• xnowbzhao / sapcu
  Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)
  ☆43Updated last year
• OpenGVLab / PonderV2
  [T-PAMI 2025] PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm
  ☆362Updated last month
• krrish94 / chamferdist
  Pytorch package to compute Chamfer distance between point sets (pointclouds).
  ☆345Updated last year
• unlimblue / KNN_CUDA
  pytorch knn [cuda version]
  ☆310Updated 3 years ago
• yxlao / camtools
  CamTools: Camera Tools for Computer Vision
  ☆199Updated 8 months ago
• ZhaoyangLyu / Point_Diffusion_Refinement
  A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud Completion
  ☆178Updated last year
• ThibaultGROUEIX / ChamferDistancePytorch
  Chamfer Distance in Pytorch with f-score
  ☆370Updated 4 years ago
• princeton-computational-imaging / Diffusion-SDF
  Official code repository for the paper: “Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions”
  ☆268Updated 2 years ago
• leonardodalinky / fpsample
  Python efficient farthest point sampling (FPS) library. Compatible with numpy.
  ☆155Updated 11 months ago
• tolgabirdal / Mitsuba2PointCloudRenderer
  rendering (optionally temporal) point clouds using Mitsuba2
  ☆164Updated last year
• yinyunie / depth_renderer
  Rendering color and depth images for ShapeNet models.
  ☆101Updated 4 years ago
• lukemelas / projection-conditioned-point-cloud-diffusion
  Official code for "Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction" (CVPR 2023)
  ☆212Updated last month
• autonomousvision / shape_as_points
  [NeurIPS'21] Shape As Points: A Differentiable Poisson Solver
  ☆625Updated 3 years ago
• CGuangyan-BIT / PointGPT
  [NeurIPS 2023] PointGPT: Auto-regressively Generative Pre-training from Point Clouds
  ☆232Updated last year
• junshengzhou / CAP-UDF
  [TPAMI'2024 / NeurIPS'2022]: CAP-UDF: Learning Unsigned Distance Functions Progressively from Raw Point Clouds with Consistency-Aware Fie…
  ☆116Updated 11 months ago
• yccyenchicheng / AutoSDF
  ☆248Updated 2 years ago
• leonardodalinky / pytorch_fpsample
  🎉 PyTorch efficient farthest point sampling (FPS) library.
  ☆45Updated 6 months ago
• JohnRomanelis / SPVD
  SPVD: Efficient and Scalable Point Cloud Generation with Sparse Point-Voxel Diffusion Models
  ☆51Updated 7 months ago