stevenygd / PointFlowLinks
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
☆851Updated last year
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.☆559Updated 6 years ago
- Autoencoder for Point Clouds☆437Updated 2 years ago
- Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)☆780Updated 2 months ago
- Implementation of the Chamfer Distance as a module for pyTorch☆303Updated 2 years ago
- Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"☆413Updated 6 years ago
- Pytorch package to compute Chamfer distance between point sets (pointclouds).☆348Updated last year
- This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The netwo…☆726Updated 3 years ago
- Chamfer Distance in Pytorch with f-score☆375Updated 5 years ago
- 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.☆506Updated 3 years ago
- Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.☆543Updated 3 years ago
- PartNet Dataset Official Release Repo☆411Updated 3 years ago
- A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).☆957Updated 2 years ago
- Morphing and Sampling Network for Dense Point Cloud Completion (AAAI2020)☆442Updated 3 years ago
- PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression☆313Updated 2 years ago
- Learning Continuous Signed Distance Functions for Shape Representation☆1,533Updated 3 years ago
- Differentiable Point Cloud Sampling (CVPR 2020 Oral)☆393Updated 2 years ago
- 3D Point Capsule Networks☆294Updated 3 years ago
- Official Pytorch implementation of Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations☆438Updated 5 years ago
- Vector Neurons: A General Framework for SO(3)-Equivariant Networks☆518Updated 3 years ago
- MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)☆374Updated last year
- [ECCV'20] Convolutional Occupancy Networks☆897Updated 2 years ago
- This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations wit…☆823Updated 4 years ago
- Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.☆487Updated 3 years ago
- [NeurIPS'21] Shape As Points: A Differentiable Poisson Solver☆631Updated 3 years ago
- PyTorch 1.2 implementation of IM-NET.☆203Updated 6 months ago
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆678Updated 3 years ago
- This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"☆1,649Updated 2 years ago
- Learning Gradient Fields for Shape Generation☆200Updated 4 years ago
- Experiments on unsupervised point cloud reconstruction.☆172Updated 3 years ago
- Code for PCN: Point Completion Network in 3DV'18 (Oral)☆476Updated 2 years ago