Stars
Unitree Go2, Unitree G1 support for Nvidia Isaac Lab (Isaac Gym / Isaac Sim)
UMI on Legs: Making Manipulation Policies Mobile with Manipulation-Centric Whole-body Controllers
An independent extension based on IsaacLab. It provides support for Robot Manipulation tasks (Robot Arm and Dextrous Hand).
A repository accompanying the PARTNR benchmark for using Large Planning Models (LPMs) to solve Human-Robot Collaboration or Robot Instruction Following tasks in the Habitat simulator.
[CoRL 2022] Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
Some basic examples of playing with RL
A brief computer graphics / rendering course
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
The official implementation of the CVPR2023 paper titled “Neural Map Prior for Autonomous Driving”.
This repository is the implementation of our CVPR 2020 work: "Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences"
RPM-Net: Robust Point Matching using Learned Features (CVPR2020)
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
[CVPR 2023] Official implementation for "CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion."
[CVPR2020] Learning multiview 3D point cloud registration
A framework that support executing unmodified CUDA source code on non-NVIDIA devices.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Cross-platform, customizable ML solutions for live and streaming media.
[CVPR 2024 Oral, Best Paper Runner-Up] Code for "pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction" by David Charatan, Sizhe Lester Li, Andrea Tagliasacch…
Official implementation of `Splatter Image: Ultra-Fast Single-View 3D Reconstruction' CVPR 2024
JavaScript Gaussian Splatting library.
"FastSAM_Awsome_Openvino" 项目展示了如何通过 OpenVINO 框架高效部署 FastSAM 模型，实现了令人瞩目的实例分割功能。该项目提供了 C++ 版本和 Python 版本两种实现，为开发者提供了在不同语言环境下使用 FastSAM 模型的选择。
Pre-trained Deep Learning models and demos (high quality and extremely fast)