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.
[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.
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
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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)
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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
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Project Page
Code
Dataset
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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