Penghao Wang

I am pursuing an undergraduate degree in Computer Science and Technology at the School of Information Science and Technology, ShanghaiTech University, where I am advised by Prof. Jingyi Yu and Prof. Lan Xu at ShanghaiTech VRVC Lab.
I'm also a incoming Ph.D. student at ShanghaiTech University from 2025, supervised by Prof. Jiayuan Gu. I am passionate about exploring novel ideas and implementing them.

Email / CV / Google Scholar / Github

Research

My research interest lies in 3D vision and computer graphics with deep learning, including neural rendering, and dynamic scene reconstruction. Recently, I have focused on a compact representation of dynamic digital humans to enable streamable download and rendering on multi-platforms.

News

2024.11 V^3 code is released

2024.09 V^3 is accepted to SIGGRAPH Asia 2024 (TOG) 😊

Publications

* indicates equal contribution.

	PartNeXt: A Next-Generation Dataset for Fine-Grained and Hierarchical 3D Part Understanding Penghao Wang, Yiyang He, Xin Lv, Yukai Zhou, Lan Xu, Jingyi Yu, Jiayuan Gu, Under Review
	V^3: Viewing Volumetric Videos on Mobiles via Streamable 2D Dynamic Gaussians Penghao Wang, Zhirui Zhang, Liao Wang, Kaixin Yao, Siyuan Xie, Jingyi Yu†, Minye Wu†, Lan Xu†, SIGGRAPH Asia 2024 (ACM Transactions on Graphics)* project page / video / arXiv / code
	HiFi4G: High-Fidelity Human Performance Rendering via Compact Gaussian Splatting Yuheng Jiang, Zhehao Shen, Penghao Wang, Zhuo Su, Yu Hong, Yingliang Zhang, Jingyi Yu, Lan Xu, CVPR 2024 project page / video / arXiv / pdf
	NEPHELE: A Neural Platform for Highly Realistic Cloud Radiance Rendering Haimin Luo, Siyuan Zhang, Fuqiang Zhao, Haotian Jing, Penghao Wang, Zhenxiao Yu, Dongxue Yan, Junran Ding, Boyuan Zhang, Qiang Hu, Shu Yin, Lan Xu, Jingyi Yu, arXiv 2023 arXiv / pdf

Services

Journal reviewer for ACM TOG

Honors

2024.12 Outstanding Student of ShanghaiTech University

2022.12 Outstanding Student of ShanghaiTech University

Thanks Jon Barron for his website template.