autonomousvision / occupancy_networksLinks
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
☆1,622Updated 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☆875Updated 2 years ago
- Learning Continuous Signed Distance Functions for Shape Representation☆1,486Updated 3 years ago
- A list of recent papers, libraries and datasets about 3D shape/scene analysis (by topics, updating).☆954Updated last year
- Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020]☆1,194Updated last year
- Python code to fuse multiple RGB-D images into a TSDF voxel volume.☆1,354Updated 2 years ago
- ☆2,079Updated last year
- An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.☆1,471Updated 4 months ago
- Point-NeRF: Point-based Neural Radiance Fields☆1,143Updated last year
- PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows☆819Updated last year
- This repository contains the code for the CVPR 2020 paper "Differentiable Volumetric Rendering: Learning Implicit 3D Representations wit…☆824Updated 3 years ago
- Deep Hough Voting for 3D Object Detection in Point Clouds☆1,734Updated 3 years ago
- This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).☆829Updated last month
- Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"☆1,266Updated 3 years ago
- [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning☆668Updated 3 years ago
- This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The netwo…☆705Updated 2 years ago
- An extension of Open3D to address 3D Machine Learning tasks☆2,112Updated last month
- The Replica Dataset v1 as published in https://arxiv.org/abs/1906.05797 .☆1,144Updated last year
- Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.☆535Updated 3 years ago
- Pytorch framework for doing deep learning on point clouds.☆2,631Updated 2 weeks ago
- A PyTorch re-implementation of Neural Radiance Fields☆909Updated 4 years ago
- [CVPR 2023 Highlight] Neural Kernel Surface Reconstruction☆858Updated 6 months ago
- [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers☆739Updated 10 months ago
- A collection of 3D reconstruction papers in the deep learning era.☆889Updated last year
- Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors☆2,750Updated last year
- Open source code for the paper of Neural Sparse Voxel Fields.☆817Updated 2 years ago
- Kernel Point Convolution implemented in PyTorch☆847Updated 8 months ago
- Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral☆2,185Updated last year
- Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)☆745Updated 6 months ago
- Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.☆696Updated 4 years ago
- O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis☆743Updated 2 years ago