PyTorch implementation of InstructDiffusion, a unifying and generic framework for aligning computer vision tasks with human instructions.

Official code for CVPR'23 paper: Learning Human-to-Robot Handovers from Point Clouds

OpenPoints: a library for easily reproducing point-based methods for point cloud understanding. The engine for [PointNeXt](https://arxiv.org/abs/2206.04670)

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites

Efficient 6-DoF Grasp Generation in Cluttered Scenes

Official source code of Fast Point Transformer, CVPR 2022

Data, code and pretrained models for Deep Surface Reconstruction from Point Clouds with Visibility Information [ICPR 2022]

[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

Code for "PVN3D: A Deep Point-wise 3D Keypoints Hough Voting Network for 6DoF Pose Estimation", CVPR 2020

code for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models"

This is a complete package of recent deep learning methods for 3D point clouds in pytorch (with pretrained models).

ROS Tutorial and Examples: Play with the camera and robot using Python

Plane fitting with RANSAC

Code for PointAugment: an Auto-Augmentation Framework for Point Cloud Classification, CVPR 2020 (Oral)

PyTorch Implementation of PU-Net. PU-Net: Point Cloud Upsampling Network, CVPR 2018

SpotTune: Transfer Learning through Adaptive Fine-tuning