microsoft / O-CNNLinks
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
☆752Updated 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☆505Updated 5 years ago
- This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The netwo…☆720Updated 3 years ago
- Code for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''☆572Updated 8 years ago
- Autoencoder for Point Clouds☆438Updated 2 years ago
- A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).☆958Updated last year
- Learning Implicit Surfaces from Point Clouds (ECCV 2020)☆502Updated 3 months ago
- Auto-encoding & Generating 3D Point-Clouds.☆555Updated 6 years ago
- Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]☆1,219Updated 2 years ago
- MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)☆370Updated last year
- The data skeleton from Joint 2D-3D-Semantic Data for Indoor Scene Understanding☆516Updated 6 years ago
- 3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.☆889Updated last month
- Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction (AAAI 2018)☆443Updated 6 years ago
- [CVPR'19] Dataset and code used in the research project Scan2CAD: Learning CAD Model Alignment in RGB-D Scans☆472Updated 9 months ago
- Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)☆439Updated 3 years ago
- Python module to read and write .binvox files.☆243Updated 6 years ago
- [ECCV'20] Convolutional Occupancy Networks☆892Updated 2 years ago
- Learning Continuous Signed Distance Functions for Shape Representation☆1,512Updated 3 years ago
- PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows☆842Updated last year
- PU-Net: Point Cloud Upsampling Network, CVPR, 2018 (https://arxiv.org/abs/1801.06761)☆363Updated 6 years ago
- Convert any Triangle Mesh to Watertight Manifold☆687Updated 5 years ago
- Code for "Deep Marching Cubes: Learning Explicit Surface Representations", CVPR 2018☆257Updated 2 years ago
- An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.☆1,511Updated 2 months ago
- Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.☆540Updated 3 years ago
- Implementation of the Chamfer Distance as a module for pyTorch☆302Updated 2 years ago
- [ICCV2019] Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation.☆381Updated last month
- PartNet Dataset Official Release Repo☆406Updated 2 years ago
- Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling☆523Updated 4 years ago
- This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"☆1,634Updated 2 years ago
- [NeurIPS'21] Shape As Points: A Differentiable Poisson Solver☆626Updated 3 years ago
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆672Updated 3 years ago