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Official Pytorch Implementation of SMIRK: 3D Facial Expressions through Analysis-by-Neural-Synthesis (CVPR 2024)
High-resolution models for human tasks.
OpenMMLab 3D Human Parametric Model Toolbox and Benchmark
Pytorch implementation of Unimotion: Unifying 3D Human Motion Synthesis and Understanding.
The code the CVPR2024 paper Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives
A collection of utility functions to prototype geometry processing research in python
A library for human kinematic motion and numerical optimization solvers to apply human motion
MotionFix: Text-Driven 3D Human Motion Editing [SIGGRAPH ASIA 2024]
Paper list of sign language, including sign language recognition(SLR), sign language translation(SLT) and other work. Quick start your awesome work with us!! 🤟🤟🤟
Implementation of "Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation" from CVPR Workshop on Human Motion Generation 2024.
🎥 Python and OpenCV-based scene cut/transition detection program & library.
[NeurIPS 2023] Official Code for "SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation"
Large World Model -- Modeling Text and Video with Millions Context
KSL-Guide: A Large-scale Korean Sign Language Dataset Including Interrogative Sentences for Guiding the Deaf and Hard-of-Hearing, FG, 2021
An Open Source text-to-speech system built by inverting Whisper.
Code for "Weakly-supervised Fingerspelling Recognition in British Sign Language Videos", BMVC 2022.
SWE-bench: Can Language Models Resolve Real-world Github Issues?
Official PyTorch implementation of the paper "CoVR: Learning Composed Video Retrieval from Web Video Captions".
[NeurIPS 2023] Code for "Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives"
Sign Language Translation for Instructional Videos - CVPR WiCV 2023
Code repository for the paper "On the Benefits of 3D Pose and Tracking for Human Action Recognition", (CVPR 2023)
(CVPR 2023) Pytorch implementation of “T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations”
Powerful, easy to use, and portable visualization toolkit for mixed 3D and 2D content