Hui En Pang 庞惠恩

I am a PhD candidate in the School of Computer Science at Nanyang Technological University, where I work on 3D/4D human modelling. My PhD advisor is Prof. Zhang Tianwei. I’ve had the honor of collaborating closely with Prof. Ziwei Liu, Dr. Zhongang Cai and Dr. Lei Yang.

Email  /  GitHub  /  Google Scholar  /  LinkedIn

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Research

I’m interested in 3D human-related modeling, including pose and shape estimation, generation, animation, editing, and clothing modeling.

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SMPLest-X: Ultimate Scaling for Expressive Human Pose and Shape Estimation


Wanqi Yin, Zhongang Cai, Ruisi Wang, Ailing Zeng, Chen Wei, Qingping Sun, Haiyi Mei, Yanjun Wang, Hui En Pang, Mingyuan Zhang, Lei Zhang, Chen Change Loy, Atsushi Yamashita, Lei Yang, Ziwei Liu
arXiv, 2025
arxiv / code / website /

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


Hui En Pang, Shuai Liu, Zhongang Cai, Lei Yang, Tianwei Zhang, Ziwei Liu
CVPR, 2025
arxiv / code / website /

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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
arxiv / code / website /

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Towards Robust and Expressive Whole-body Human Pose and Shape Estimation


Hui En Pang, Zhongang Cai, Lei Yang, Qingyi Tao, Zhonghua Wu, Tianwei Zhang, Ziwei Liu
Neural Information Processing Systems (NeurIPS), 2023
arxiv / code / website /

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Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms


Hui En Pang, Zhongang Cai, Lei Yang, Tianwei Zhang, Ziwei Liu
NeurIPS (Datasets and Benchmarks Track), 2022
arxiv / code / website /

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3D building reconstruction from single street view images using deep learning


Hui En Pang, Filip Biljecki
International Journal of Applied Earth Observation and Geoinformation, 2022
arxiv /




Experience

Adobe Research

Sensetime

Algorithm Researcher

Adobe Research

AI Singapore

AI Engineer

Adobe Research

Grab

Data Science Intern (Traffic)


Design and source code from Leonid Keselman's and Jon Barron's website