ranahanocka / MeshCNN
Convolutional Neural Network for 3D meshes in PyTorch
☆1,645Updated last year
Alternatives and similar repositories for MeshCNN:
Users that are interested in MeshCNN are comparing it to the libraries listed below
- code for Mesh R-CNN, ICCV 2019☆1,148Updated 4 months ago
- Learning Continuous Signed Distance Functions for Shape Representation☆1,437Updated 2 years ago
- Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"☆1,248Updated 3 years ago
- A PyTorch port of the Neural 3D Mesh Renderer☆1,152Updated 3 years ago
- "Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.☆1,154Updated 3 years ago
- Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.☆1,704Updated 3 years ago
- Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]☆1,154Updated last year
- PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows☆777Updated 7 months ago
- A PyTorch Library for Accelerating 3D Deep Learning Research☆4,682Updated last month
- MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)☆356Updated 8 months ago
- O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis☆737Updated 2 years ago
- This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The netwo…☆691Updated 2 years ago
- A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).☆952Updated last year
- An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.☆1,404Updated this week
- Pytorch framework for doing deep learning on point clouds.☆2,561Updated last month
- Code for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''☆564Updated 7 years ago
- Differentiable rendering without approximation.☆1,412Updated 2 years ago
- This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"☆1,586Updated last year
- Calculate signed distance fields for arbitrary meshes☆1,093Updated last year
- Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors☆2,607Updated last year
- [ICCV2019] Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation.☆368Updated 3 years ago
- PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)☆1,396Updated 3 years ago
- Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.☆525Updated 2 years ago
- Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.☆1,380Updated last month
- Deep Hough Voting for 3D Object Detection in Point Clouds☆1,714Updated 3 years ago
- Convert any Triangle Mesh to Watertight Manifold☆635Updated 4 years ago
- Learning Implicit Surfaces from Point Clouds (ECCV 2020)☆478Updated 2 months ago
- PyTorch3D is FAIR's library of reusable components for deep learning with 3D data☆9,129Updated last week
- An extension of Open3D to address 3D Machine Learning tasks☆1,986Updated 2 months ago
- pyntcloud is a Python library for working with 3D point clouds.☆1,439Updated last week