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Zhongang Cai   蔡中昂

Hi there! I am a Ph.D. student at MMLab@NTU, advised by Prof. Ziwei Liu and Prof. Chen Change Loy. My research interests include point clouds and virtual humans. Concurrently, I am also a Senior Algorithm Researcher at SenseTime Research. My responsibility includes building systems and algorithms that perceive, reconstruct and generate humans.

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[2023-09] SMPLer-X is accepted to NeurIPS 2023 Datasets and Benchmarks Track.

[2023-09] RoboSMPLX and FineMoGen are accepted to NeurIPS 2023.

[2023-07] SynBody, ReMoDiffuse, Zolly (Oral), and DNA-Rendering are accepted to ICCV 2023.

[2023-04] BiBench is accepted to ICML 2023.

[2023-04] VRCNet++ is accepted to TPAMI 2023.

[2023-01] Invited talk (slides) at MPI.

[2023-01] Release of HuMMan v1.0: Reconstruction Subset.

[2022-10] We are organizing ECCV 2022 SenseHuman Workshop.

[2022-09] 1 paper accepted to NeurIPS (Datasets and Benchmarks Track) 2022.

[2022-07] 2 papers accepted to ECCV 2022 (1 oral and 1 poster).

[2022-05] 1 papers accepted to SIGGRAPH 2022 (journal-track).

[2022-03] 3 papers accepted to CVPR 2022 (1 oral and 2 posters).

[2021-12] We have released MMHuman3D: 3D Human Parametric Model Toolbox and Benchmark

[2021-07] We are hosting MVP Challenge.

[2021-06] We are organizing ICCV 2021 SenseHuman Workshop.

My Three Favorite Works [Full List]

SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation

Zhongang Cai*, Wanqi Yin*, Ailing Zeng, Chen Wei, Qingping Sun, Yanjun Wang, Hui En Pang, Haiyi Mei, Mingyuan Zhang, Lei Zhang, Chen Change Loy, Lei Yang, Ziwei Liu.
NeurIPS (Datasets and Benchmarks Track), 2023

PDF Project Page Code Demo

HuMMan: Multi-Modal 4D Human Dataset for Versatile Sensing and Modeling

Zhongang Cai*, Daxuan Ren*, Ailing Zeng*, Zhengyu Lin*, Tao Yu*, Wenjia Wang*, Xiangyu Fan, Yang Gao, Yifan Yu, Liang Pan, Fangzhou Hong, Mingyuan Zhang, Chen Change Loy, Lei Yang, Ziwei Liu.
European Conference on Computer Vision (ECCV), 2022 (Oral)

PDF Project Page Code Dataset Demo

Playing for 3D Human Recovery

Zhongang Cai*, Mingyuan Zhang*, Jiawei Ren*, Chen Wei, Daxuan Ren, Jiatong Li, Zhengyu Lin, Haiyu Zhao, Shuai Yi, Lei Yang, Chen Change Loy, Ziwei Liu.
arXiv Preprint, 2021

PDF Project Page Code Dataset

On-Going Projects

MMHuman3D is an open source PyTorch-based codebase for the use of 3D human parametric models. It is a part of the OpenMMLab project.
    - Reproducing popular methods with a modular framework
    - Supporting various datasets with a unified data convention
    - Versatile visualization toolbox

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