🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

The official PyTorch implementation of the paper "Human Motion Diffusion Model"

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

A Python API wrapper for removing background using remove.bg's API

Official implementation of "MoMask: Generative Masked Modeling of 3D Human Motions (CVPR2024)"

HumanML3D: A large and diverse 3d human motion-language dataset.

[CVPR 2023] Executing your Commands via Motion Diffusion in Latent Space, a fast and high-quality motion diffusion model

Official implementation for "Generating Diverse and Natural 3D Human Motions from Texts (CVPR2022)."

A motion generation model learned from a single example [SIGGRAPH 2022]

API to support AIST++ Dataset: https://google.github.io/aistplusplus_dataset

Character Controllers using Motion VAEs

Official Pytorch implementation for 2021 ICCV paper "Learning Motion Priors for 4D Human Body Capture in 3D Scenes" and trained models / data

Official implementations for "Action2Motion: Conditioned Generation of 3D Human Motions (ACM MultiMedia 2020)"

Official implementation of "TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts (ECCV2022)"

Code for CVPR 2021 paper. "Learning Calibrated Medical Image Segmentation via Multi-rater Agreement Modeling".

Official repo of our ECCV 2022 paper "GIMO: Gaze-Informed Human Motion Prediction in Context"

[ICCV 2023] TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration

Implementation of Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis

Python package wrapping the gifsicle library for editing and optimizing gifs.

code for cvpr2022 paper "Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction"

Official repository for "Object Wake-up: 3D Object Rigging from a Single Image" (ECCV 2022)

Deep motion generator collections

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]