Jionghao Wang's Homepage

Jionghao Wang

Hi! I am Jionghao Wang, you can call me John.

I am a CS Ph.D. student at Texas A&M University, supervised by Prof. Wenping Wang and Prof. Xin Li.

Previously, I obtained my B.Eng. and M.Eng. degrees from Shanghai Jiao Tong University(SJTU), where I was fortunate to be supervised by Prof. Li Song.

Google Scholar / Email / Github / LinkedIn / Twitter

News

MAY 2025 Started as a research intern at Sony in San Jose, CA! 🎮 OCT 2024 Attended ECCV 2024 in Milan, Italy! 🇮🇹 JUL 2024 SO-SMPL is accepted by ECCV 2024. Thanks to all collaborators! 🎉 AUG 2024 Started as a Ph.D. student in Texas A&M! Gig 'em! 🎓 MAR 2024 Obtained my Masters degree from SJTU! Grateful for the amazing time! 🎓 FEB 2024 Started as a research intern at miHoYo in Shanghai! 🎮

Research

PDT: Point Distribution Transformation with Diffusion Models
Jionghao Wang*, Cheng Lin*, Yuan Liu, Rui Xu, Zhiyang Dou, Xiao-Xiao Long, Hao-Xiang Guo, Taku Komura, Wenping Wang, Xin Li
SIGGRAPH 2025(Conference Track)
arXiv / Project / Github

PDT is a novel diffusion-based framework for transforming dense point distribution into a target distribution that is semantically meaningful.

Disentangled Clothed Avatar Generation from Text Descriptions
Jionghao Wang*, Yuan Liu*, Zhiyang Dou, Zhengming Yu, Yongqing Liang, Cheng Lin, Rong Xie, Li Song, Xin Li, Wenping Wang
ECCV 2024
arXiv / Project / Github

In this paper, we introduced a novel text-to-avatar generation method that separately generates the human body and the clothes and allows high-quality animation on the generated avatar.

360-Degree Panorama Generation from Few Unregistered NFoV Images
Jionghao Wang*, Ziyu Chen*, Jun Ling, Rong Xie, Li Song
ACM Multimedia 2023
Paper / Github / Video

We proposed a novel diffusion-based pipeline that generates complete 360 panoramas using one or more unregistered NFoV images captured from arbitrary angles.

Education