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Disco4D: Disentangled 4D Human Generation and Animation from a Single Image

S-Lab, Nanyang Technological University

CVPR 2025

Getting started

Introduction

This repo is official PyTorch implementation of Disco4D: Disentangled 4D Human Generation and Animation from a Single Image (CVPR2025).

Installation (TBA)

Train (TBA)

Evaluation (TBA)

Citation

If you find our work useful for your research, please consider citing the paper:


5AD8
@inproceedings{
  title={Disco4D: Disentangled 4D Human Generation and Animation from a Single Image},
  author={Pang, Hui En and Liu, Shuai and Cai, Zhongang and Yang, Lei and Zhang, Tianwei and Liu, Ziwei},
  booktitle={CVPR},
  year={2025}
}

License

Distributed under the S-Lab License. See LICENSE for more information.

Acknowledgements

This research/project is supported by the National Research Foundation, Singapore under its AI Singapore Programme. This study is also supported by the Ministry of Education, Singapore, under its MOE AcRF Tier 2 (MOE-T2EP20221-0012), NTU NAP, and under the RIE2020 Industry Alignment Fund – Industry Collaboration Projects (IAF-ICP) Funding Initiative, as well as cash and in-kind contribution from the industry partner(s). We sincerely thank the anonymous reviewers for their valuable comments on this paper.

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