Stars
Code for "GVHMR: World-Grounded Human Motion Recovery via Gravity-View Coordinates", Siggraph Asia 2024
[CVPR 2024] Official implementation of the paper "Towards Versatile Human-Human Interaction Analysis"
A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT
Code for "Detector-Free Structure from Motion", CVPR 2024
Character Animation Tools for Python.
[NeurIPS 2023] MotionGPT: Human Motion as a Foreign Language, a unified motion-language generation model using LLMs
A set of tools to visualize and interact with sequences of 3D data.
Unofficial Implementation of DragGAN - "Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold" (DragGAN 全功能实现,在线Demo,本地部署试用,代码、模型已全部开源,支持Windows, macOS, Linux)
Lightweight Python framework that provides a high-level API for creating and rendering scenes with Blender.
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.
Code of "NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation", CVPR 2023
[CVPR 2023] Learning Analytical Posterior Probability for Human Mesh Recovery
[ECCV 2022 oral] Official PyTorch implementation of the paper "Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors"
Source code of the paper Scene-Aware 3D Multi-Human Motion Capture, EUROGRAPHICS 2023
Code for "TotalSelfScan: Learning Full-body Avatars from Self-Portrait Videos of Faces, Hands, and Bodies" (NeurIPS 2022)
An adapted version of EasyMocap for human motion capture under crowded scenes.
Easy NeRF synthetic dataset creation within Blender
[NeurIPS 2022] Official implementation of "NeMF: Neural Motion Fields for Kinematic Animation"
Official ECCV 2022 repository for SUPR: A Sparse Unified Part-Based Human Representation
An Instants-NGP renderer that has been implemented using Taichi
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
OpenXRLab Neural Radiance Field (NeRF) Toolbox and Benchmark
Train the HRNet model on ImageNet
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125