autonomousvision / occupancy_networksLinks
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
☆1,633Updated 2 years ago
Alternatives and similar repositories for occupancy_networks
Users that are interested in occupancy_networks are comparing it to the libraries listed below
Sorting:
- [ECCV'20] Convolutional Occupancy Networks☆890Updated 2 years ago
- Learning Continuous Signed Distance Functions for Shape Representation☆1,506Updated 3 years ago
- A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).☆955Updated last year
- ☆2,154Updated last week
- An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.☆1,502Updated 2 months ago
- Python code to fuse multiple RGB-D images into a TSDF voxel volume.☆1,380Updated 2 years ago
- PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows☆837Updated last year
- Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]☆1,214Updated 2 years ago
- Point-NeRF: Point-based Neural Radiance Fields☆1,148Updated last year
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆841Updated 4 months ago
- Pytorch framework for doing deep learning on point clouds.☆2,663Updated this week
- 🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey☆1,623Updated 4 years ago
- This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations wit…☆825Updated 4 years ago
- An extension of Open3D to address 3D Machine Learning tasks☆2,172Updated 4 months ago
- PyTorch implementation of Pointnet2/Pointnet++☆1,726Updated 7 months ago
- Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors☆2,815Updated last year
- Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"☆1,273Updated 3 years ago
- A PyTorch re-implementation of Neural Radiance Fields☆910Updated 4 years ago
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆672Updated 3 years ago
- Deep Hough Voting for 3D Object Detection in Point Clouds☆1,741Updated 3 years ago
- Autoencoder for Point Clouds☆438Updated 2 years ago
- pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.005…☆2,316Updated 2 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
- The Replica Dataset v1 as published in https://arxiv.org/abs/1906.05797 .☆1,178Updated last year
- A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!☆1,581Updated last year
- Open source code for the paper of Neural Sparse Voxel Fields.☆817Updated 2 years ago
- Kernel Point Convolution implemented in PyTorch☆864Updated 3 weeks ago
- Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.☆859Updated 4 years ago
- Code release for Local Light Field Fusion at SIGGRAPH 2019☆1,672Updated 2 years ago
- O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis☆749Updated 3 years ago