Popular GitHub Repositories for 3d Deep Learning

A PyTorch Library for Accelerating 3D Deep Learning Research

NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

This repository contains the source codes for the paper "AtlasNet: A Papier-Maché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.

Research platform for 3D object detection in PyTorch.

[ICCVW-2021] SA-Det3D: Self-attention based Context-Aware 3D Object Detection

Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance (ECCV2020)

[IEEE RAL] Fast and Robust Registration of Partially Overlapping Point Clouds in Driving Applications

CSGNet for voxel based input

[AAAI-2024] Pytorch implementation of "ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field"

MaskPlanner is a deep learning model for the quick generation of multiple, long-horizon paths from free-form 3D objects represented as point clouds.

Python package for deep learning on molecular point clouds.

This report contains a comprehensive study on unsupervised feature learning using various types of autoencoders.