About ME
I am Sipeng Yang, an Associate Researcher at the Hangzhou Research Institute of AI and Holographic Technology.
I received my Ph.D. degree in Computer Science from the State Key Laboratory of CAD&CG, Zhejiang University, in 2024, where I was advised by Professor Xiaogang Jin.
My research focuses on developing lightweight supersampling algorithms for real-time rendering on mobile devices, with the goal of achieving high-quality rendering at low sampling rates. This work has significant applications in smartphone gaming and interactive graphics.
I am also interested in deep learning and geometry processing for computer graphics and visual computing.
Email: sipengyang@zjuqx.com
Last updated: August 2025
Selected Publications
Lightweight, Edge-Aware, and Temporally Consistent Supersampling for Mobile Real-Time Rendering
ACM Transactions on Graphics (conditionally accepted, 2025).
Sipeng Yang, Jiayu Ji, Junhao Zhuge, Jinzhe Zhao, Qiang Qiu, Chen Li, Yuzhong Yan, Kerong Wang, Ling-Qi Yan, Xiaogang Jin*
Mob-FGSR: Frame Generation and Super Resolution for Mobile Real-Time Rendering
ACM SIGGRAPH Conference Papers (2024).
Sipeng Yang, Qingchuan Zhu, Junhao Zhuge, Qiang Qiu, Chen Li, Yuzhong Yan, Huihui Xu, Ling-Qi Yan, Xiaogang Jin*
MNSS: Neural Supersampling Framework for Real-Time Rendering on Mobile Devices
IEEE Transactions on Visualization and Computer Graphics 30(7): 4271–4284 (2024).
Sipeng Yang, Yunlu Zhao, Yuzhe Luo, He Wang, Hongyu Sun, Chen Li, Binghuang Cai, Xiaogang Jin*
Accelerating Stereo Rendering via Image Reprojection and Spatio-Temporal Supersampling
IEEE Transactions on Visualization and Computer Graphics 31(5): 2643–2652 (2025).
Sipeng Yang, Junhao Zhuge, Jiayu Ji, Qingchuan Zhu, Xiaogang Jin*
*Corresponding author.