ranahanocka / MeshCNN
Convolutional Neural Network for 3D meshes in PyTorch
☆1,652Updated last year
Alternatives and similar repositories for MeshCNN:
Users that are interested in MeshCNN are comparing it to the libraries listed below
- Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]☆1,162Updated last year
- A PyTorch Library for Accelerating 3D Deep Learning Research☆4,715Updated last week
- A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).☆953Updated last year
- This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The netwo…☆692Updated 2 years ago
- MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)☆362Updated 8 months ago
- An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.☆1,413Updated this week
- code for Mesh R-CNN, ICCV 2019☆1,152Updated 4 months ago
- Learning Continuous Signed Distance Functions for Shape Representation☆1,444Updated 2 years ago
- PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows☆785Updated 8 months ago
- "Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.☆1,153Updated 3 years ago
- Geometry Processing Library for Python☆1,961Updated 8 months ago
- Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction (AAAI 2018)☆434Updated 6 years ago
- Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"☆1,257Updated 3 years ago
- This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"☆1,595Updated last year
- Pytorch code to construct a 3D point cloud model from single RGB image.☆375Updated last year
- Pytorch framework for doing deep learning on point clouds.☆2,578Updated 2 months ago
- O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis☆737Updated 2 years ago
- Calculate signed distance fields for arbitrary meshes☆1,098Updated last year
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆791Updated 3 weeks ago
- A PyTorch port of the Neural 3D Mesh Renderer☆1,154Updated 3 years ago
- Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images. In ECCV2018.☆1,708Updated 3 years ago
- Auto-encoding & Generating 3D Point-Clouds.☆536Updated 5 years ago
- Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors☆2,629Updated last year
- Python library for loading and using triangular meshes.☆3,204Updated 2 weeks ago
- Code for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''☆565Updated 7 years ago
- PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)☆1,398Updated 3 years ago
- Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling☆513Updated 3 years ago
- TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow☆2,765Updated this week
- Deep Hough Voting for 3D Object Detection in Point Clouds☆1,716Updated 3 years ago
- Autoencoder for Point Clouds☆430Updated last year