Currently, I am a 2nd-year Ph.D. student in Computer Science, Peking University, supervised by Prof. Jian Zhang. Previously, I received my B.Eng degree from Dalian University of Technology in 2022. During my undergraduate studies, I am privileged to work closely with Prof. Risheng Liu and Prof. Xin Fan in the field of low-level vision.

My primary research interests include computer vision, 3D vision and machine learning, mainly focusing on visual Artificial Intelligence Generated Content (AIGC), Novel View Synthesis, and Low-level Vision. You are welcome to contact me via my email: szyang AT stu.pku.edu.cn

📜 Research Area

1. AIGC
2. Low-level Vision
3. Novel View Synthesis

📝 Selected Publications

	Fourier123: One Image to High-Quality 3D Object Generation with Hybrid Fourier Score Distillation Shuzhou Yang, Yu Wang, Haijie Li, Jiarui Meng, Xiandong Meng, Jian Zhang*. Preprint, 2024 arXiv | Project Page | Code Using both 2D and 3D diffusion models to generate 3D asset from a single image with hybrid fourier score distillation.
	Neural Video Fields Editing Shuzhou Yang, Chong Mou, Jiwen Yu, Yuhan Wang, Xiandong Meng, Jian Zhang*. Preprint, 2023 arXiv | Project Page | Code Editing long videos coherently via neural video fields.
	DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement Shuzhou Yang†, Xuanyu Zhang†, Yinhuai Wang, Jiwen Yu, Yuhan Wang, Jian Zhang*. Preprint, 2023 arXiv Bridge the gap between real scenes and training data by diffusion model prior.
	Implicit Neural Representation for Cooperative Low-light Image Enhancement Shuzhou Yang, Moxuan Ding, Yanmin Wu, Zihan Li, Jian Zhang*. International Conference on Computer Vision (ICCV), 2023 arXiv | Paper | Code Normalize images by neural representation and enhance them based on CLIP prior.
	Multi-scale Synergism Ensemble Progressive and Contrastive Investigation for Image Restoration Zhiying Jiang†, Shuzhou Yang†, Jinyuan Liu, Xin Fan, Risheng Liu*. IEEE Transactions on Instrumentation and Measurement (TIM), 2023 Paper | Code Restore image degradation through a multi-scale progressive network.
	NeRFocus: Neural Radiance Field for 3D Synthetic Defocus Yinhuai Wang†, Shuzhou Yang†, Yujie Hu, Jian Zhang*. Computer Vision and Pattern Recognition Workshop (CVPRW), 2023 arXiv | Code Realize defocusing effect in 3D scenarios.

💻 Academic Services

• Journal Reviewer:
  • IEEE Transactions on Multimedia (TMM)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • ACM Transactions on Multimedia Computing, Communications and Applications (TOMM)

🏫 Educations

• Sep’2022-Jul’2027: Ph.D. (Computer Science), Peking University
• Sep’2018-Jul’2022: B.Eng (Software Engineering), Dalian University of Technology