stevenygd / PointFlowLinks
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
☆796Updated 9 months ago
Alternatives and similar repositories for PointFlow
Users that are interested in PointFlow are comparing it to the libraries listed below
Sorting:
- Auto-encoding & Generating 3D Point-Clouds.☆540Updated 5 years ago
- This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The netwo…☆695Updated 2 years ago
- Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)☆731Updated 3 months ago
- Autoencoder for Point Clouds☆430Updated last year
- Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)☆433Updated 3 years ago
- Implementation of the Chamfer Distance as a module for pyTorch☆294Updated last year
- PartNet Dataset Official Release Repo☆382Updated 2 years ago
- This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations wit…☆820Updated 3 years ago
- Learning Continuous Signed Distance Functions for Shape Representation☆1,459Updated 2 years ago
- Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"☆376Updated 5 years ago
- Chamfer Distance in Pytorch with f-score☆359Updated 4 years ago
- [NeurIPS'21] Shape As Points: A Differentiable Poisson Solver☆611Updated 3 years ago
- [ECCV'20] Convolutional Occupancy Networks☆869Updated last year
- 3D Point Capsule Networks☆292Updated 2 years ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆380Updated last year
- A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).☆956Updated last year
- Pytorch package to compute Chamfer distance between point sets (pointclouds).☆327Updated last year
- Official Pytorch implementation of Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations☆434Updated 4 years ago
- Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.☆532Updated 3 years ago
- PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression☆298Updated 2 years ago
- Learning Implicit Surfaces from Point Clouds (ECCV 2020)☆487Updated 4 months ago
- This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"☆1,607Updated last year
- An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.☆1,436Updated last month
- Implicit Geometric Regularization for Learning Shapes☆419Updated 3 years ago
- MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)☆364Updated 10 months ago
- PyTorch 1.2 implementation of IM-NET.☆204Updated 2 years ago
- Vector Neurons: A General Framework for SO(3)-Equivariant Networks☆490Updated 2 years ago
- Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.☆453Updated 2 years ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆811Updated 2 months ago
- [ICCV2019] Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation.☆372Updated 4 years ago