GuyTevet/motion-diffusion-model
The official PyTorch implementation of the paper "Human Motion Diffusion Model"
CS PhD student
The official PyTorch implementation of the paper "Human Motion Diffusion Model"
Personal Webpage - based on https://jonbarron.info/
Official Pytorch implementation of the paper "MotionCLIP: Exposing Human Motion Generation to CLIP Space"
CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control
AnimoFlow for Blender — generate character animation from text, right in the viewport. Cloud-powered or self-hosted.
BEHAVIOR-1K: a platform for accelerating Embodied AI research. Join our Discord for support: https://discord.gg/bccR5vGFEx
Official Github repo for the paper "Evaluating the Evaluation of Diversity in Natural Language Generation"
webpage for CLoSD: Closing the Loop between Simulation and Diffusion for multi-task character control
Human Motion Diffusion Model - web page
Exploring full body generation with StyleCLIP
SMPL-X - an FK only variant
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
Language2Pose: Natural Language Grounded Pose Forecasting
MotionCLIP project page
Motion and Shape Capture from Sparse Markers
Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
Official Pytorch implementation of the paper "Action-Conditioned 3D Human Motion Synthesis with Transformer VAE", ICCV 2021
Learning Continuous Signed Distance Functions for Shape Representation
Multi-modal Content Creation Model Training Infrastructure including the FACT model (AI Choreographer) implementation.
Code for ICCV2021 paper PARE: Part Attention Regressor for 3D Human Body Estimation
DCT (discrete cosine transform) functions for pytorch
CVPR 2021 - Official code repository for the paper: On Self-Contact and Human Pose.
Visualization code for SMPL body model Family
Transformer Variational Autoencoder experiment
Simple baselines and RNNs for predicting human motion. Presented at CVPR 17. This pytorch implementation is based on the original one by the authors
An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.