I am Sipeng Yang, a Ph.D. candidate at the State Key Lab of CAD&CG, Zhejiang University, under the guidance of Professor Xiaogang Jin. I received my BSc degree from Southeast University, China, in 2018.

My research focuses on developing lightweight supersampling algorithms for real-time rendering on mobile devices, aiming to achieve high-quality rendering results with low sampling rates. This work is highly beneficial for gaming on smartphones.

I am also interested in geometry processing, specifically in the generation, refinement, and feature extraction/conversion of 3D mesh models.

For collaboration or inquiries, feel free to contact me at 12121024@zju.edu.cn.

Publications

Mob-FGSR: Frame Generation and Super Resolution for Mobile Real-Time Rendering
ACM SIGGRAPH Conference Papers ‘24.
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 (2023).
Sipeng Yang, Yunlu Zhao, Yuzhe Luo, He Wang, Hongyu Sun, Chen Li, Binghuang Cai, Xiaogang Jin*

Generated Realistic Noise and Rotation-Equivariant Models for Data-Driven Mesh Denoising
Computer-Aided Geometric Design (Special Issue of GMP 2024).
Sipeng Yang, Wenhui Ren, Xiwen Zeng, Qingchuan Zhu, Hongbo Fu, Kaijun Fan, Lei Yang, Jingping Yu, Xiaogang Jin*

Facial Action Units Detection Using Temporal Context and Feature Reassignment
To be published in Computer Animation and Virtual Worlds (Special Issue of CASA’2024).
Sipeng Yang, Hongyu Huang, Ying Sophie Huang*, Xiaogang Jin

SR-VFA: Accurate Self-Refined Face Alignment in Videos
2024 IEEE International Conference on Acoustics, Speech and Signal Processing.
Sipeng Yang, Hongyu Huang, Qingchuan Zhu, Xiaogang Jin*

3D Shape Segmentation Using Soft Density Peak Clustering and Semi-Supervised Learning
Computer-Aided Design 145 (2022): 103181.
Shu Zhenyu, Sipeng Yang*, Haoyu Wu, Shiqing Xin, Chaoyi Pang, Ladislav Kavan, and Ligang Liu

Detecting 3D Points of Interest Using Projective Neural Networks
IEEE Transactions on Multimedia 24 (2021): 1637-1650.
Shu Zhenyu, Sipeng Yang*, Shiqing Xin, Chaoyi Pang, Xiaogang Jin, Ladislav Kavan, and Ligang Liu

*Corresponding author.