O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
☆752Aug 30, 2022Updated 3 years ago
Alternatives and similar repositories for O-CNN
Users that are interested in O-CNN are comparing it to the libraries listed below
Sorting:
- OctNet: Learning Deep 3D Representations at High Resolutions☆505Sep 2, 2020Updated 5 years ago
- Octree-based 3D Convolutional Neural Networks [SIGGRAPH 2017]☆239Mar 11, 2026Updated last week
- Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs☆160Jan 23, 2020Updated 6 years ago
- This repository contains the code of our O-CNN paper.☆39Jun 28, 2019Updated 6 years ago
- Convert any Triangle Mesh to Watertight Manifold☆699Jul 1, 2020Updated 5 years ago
- [ECCV'20] Convolutional Occupancy Networks☆899Jul 31, 2023Updated 2 years ago
- This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The netwo…☆724Oct 26, 2022Updated 3 years ago
- Code release for "Learning Adaptive Hierarchical Cuboid Abstractions of 3D Shape Collections" (SIGGRAPH Asia 2019)☆53Oct 19, 2019Updated 6 years ago
- ☆44Nov 3, 2017Updated 8 years ago
- PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)☆1,427Mar 12, 2026Updated last week
- Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations☆149Jul 15, 2024Updated last year
- Learning Continuous Signed Distance Functions for Shape Representation☆1,541Jun 20, 2022Updated 3 years ago
- Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes (CVPR 2021 Oral)☆905Oct 23, 2023Updated 2 years ago
- Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors☆2,884Mar 5, 2024Updated 2 years ago
- A PyTorch Library for Accelerating 3D Deep Learning Research☆5,056Mar 13, 2026Updated last week
- OctFormer: Octree-based Transformers for 3D Point Clouds [SIGGRAPH 2023]☆350Nov 15, 2025Updated 4 months ago
- This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"☆1,652Jun 27, 2023Updated 2 years ago
- Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018☆257Feb 28, 2023Updated 3 years ago
- Learning Implicit Surfaces from Point Clouds (ECCV 2020)☆508Aug 6, 2025Updated 7 months ago
- Learning Deformable Tetrahedral Meshes for 3D Reconstruction (NeurIPS 2020)☆185Oct 23, 2023Updated 2 years ago
- SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018☆346Feb 24, 2021Updated 5 years ago
- Convolutional Neural Network for 3D meshes in PyTorch☆1,718Feb 7, 2024Updated 2 years ago
- Pytorch framework for doing deep learning on point clouds.☆2,694Updated this week
- SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization☆286Jun 17, 2020Updated 5 years ago
- A resource repository for 3D machine learning☆10,145Jul 4, 2024Updated last year
- Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs☆799Jul 19, 2023Updated 2 years ago
- Calculate signed distance fields for arbitrary meshes☆1,217Mar 10, 2024Updated 2 years ago
- DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction☆310Jun 4, 2021Updated 4 years ago
- Submanifold sparse convolutional networks☆2,142Jan 9, 2024Updated 2 years ago
- StructureNet: Hierarchical Graph Networks for 3D Shape Generation☆264Sep 22, 2021Updated 4 years ago
- Implementation for Curriculum DeepSDF☆88Mar 22, 2020Updated 5 years ago
- Patch-base progressive 3D Point Set Upsampling☆172Sep 10, 2024Updated last year
- PyTorch implementation of Neural Dual Contouring.☆276Aug 25, 2022Updated 3 years ago
- Code for "Point-based Multi-view Stereo Network" (ICCV 2019 Oral) & "Visibility-aware Point-based Multi-view Stereo Network" (TPAMI)☆508Aug 5, 2020Updated 5 years ago
- Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.☆543Apr 12, 2022Updated 3 years ago
- ☆1,819May 20, 2022Updated 3 years ago
- Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.☆721Feb 18, 2021Updated 5 years ago
- Learning to Group and Label Fine-Grained Shape Components☆14Sep 7, 2018Updated 7 years ago
- ☆97Nov 23, 2017Updated 8 years ago