https://sirui-xu.github.io/DuMMF/

[ICLR 2023 spotlight] Official PyTorch implementation of the paper "Stochastic Multi-Person 3D Motion Forecasting"
https://sirui-xu.github.io/DuMMF/

Last synced: 3 months ago
JSON representation

[ICLR 2023 spotlight] Official PyTorch implementation of the paper "Stochastic Multi-Person 3D Motion Forecasting"

• Host: GitHub
• URL: https://sirui-xu.github.io/DuMMF/
• Owner: Sirui-Xu
• Created: 2023-03-02T03:02:58.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-01T01:59:00.000Z (about 1 year ago)
• Last Synced: 2024-04-05T09:37:27.364Z (7 months ago)
• Language: Python
• Size: 12.2 MB
• Stars: 47
• Watchers: 5
• Forks: 2
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-conditional-content-generation - Stochastic Multi-Person 3D Motion Forecasting

README

        
# [ICLR 2023] Stochastic Multi-Person 3D Motion Forecasting



## Introduction

This is the official implementation of "[Stochastic Multi-Person 3D Motion Forecasting](https://arxiv.org/abs/2306.05421)." 

## What's New

* [version 1.0] Code for diffusion-based DuMMF.

## Citation

If you find our code or paper useful, please cite by:

```bibtex

@inproceedings{

    xu2023stochastic,

    title={Stochastic Multi-Person 3D Motion Forecasting},

    author={Xu, Sirui and Wang, Yu-Xiong and Gui, Liangyan},

    booktitle={ICLR},

    year={2023},

}

```