Shi GUO

Young Researcher

Shanghai AI Laboratory

Short Bio

I am a Young Researcher at Shanghai AI Laboratory. I obtain my PhD degree at the Department of Computing, Hong Kong Polytechnic University supervised by Prof. Lei Zhang. I have received my Master degree at school of Computer Science and Technology, Harbin Institute of Technology, supervised by Prof. Wangmeng Zuo. I also received my Bachelor degree in the Honors School from Harbin Institute of Technology majoring in Automation.

Selected Publications

	4DSloMo: 4D Reconstruction for High Speed Scene with Asynchronous Capture Yutian Chen, Shi Guo, Tianshuo Yang, Lihe Ding, Xiuyuan Yu, Jinwei Gu, Tianfan Xue ACM SIGGRAPH Asia, 2025 Project page / Paper / Code (Coming soon) Our method can reconstruct high speed and complex 4D motion with high quality.
	UltraFusion: Ultra High Dynamic Imaging using Exposure Fusion Zixuan Chen, Yujin Wang, Xin Cai, Zhiyuan You, Zheming Lu, Fan Zhang, Shi Guo, Tianfan Xue†, CVPR (Highlight), 2025 Website / Project page / Paper / Code We propose UltraFusion, the first exposure fusion technique that can merge input with 9 stops differences.
	Event-assisted 12-stop HDR Imaging of Dynamic Scene Shi Guo Zixuan Chen, Ziran Zhang, Yutian Chen, Gangwei Xu, Tianfan Xue arXiv, 2024 Project page / Paper / Code (Coming soon) Using event camera, our method present the first attempt at 12-stop HDR imaging for dynamic scenes.
	From Sim-to-Real: Toward General Event-based Low-Light Frame Interpolation with Per-scene Optimization Ziran Zhang, Yongrui Ma, Yueting Chen, Feng Zhang, Jinwei Gu, Tianfan Xue†, Shi Guo† ACM SIGGRAPH Asia, 2024 Project page / Video / Paper / Code Toward General Event-based Low-Light Frame Interpolation.
	Event-Based Motion Magnification Yutian Chen, Shi Guo† , Fangzheng Yu, Feng Zhang, Jinwei Gu, Tianfan Xue ECCV, 2024 Project page / Video / Paper / Code Broad and cost-effective solution to magnify imperceptible high-frequency motion.
	TimeLens-XL: Real-time Event-based Video Frame Interpolation with Large Motion Yongrui Ma, Shi Guo , Yutian Chen, Tianfan Xue, Jinwei Gu ECCV, 2024 Project page / Code
	Spatial-Frequency Attention for Image Denoising Shi Guo* , Hongwei Yong, Xindong Zhang, Jianqi Ma, Lei Zhang arXiv, 2023 Paper Effectively enlarge the receptive field.*
	A differentiable two-stage alignment scheme for burst image reconstruction with large shift Shi Guo , Xi Yang, Jianqi Ma, Gaofeng Ren, Lei Zhang CVPR, 2022 Paper / Code Improve restoration performance for images with large shift efficiently.
	Joint denoising and demosaicking with green channel prior for real-world burst images Shi Guo , Zhetong Liang, Lei Zhang TIP, 2021 Paper / Code
	Toward convolutional blind denoising of real photographs Shi Guo , Zifei Yan , Kai Zhang , Wangmeng Zuo , Lei Zhang CVPR, 2019, (1000+ citation) Paper / Code Design noise model for real-world denoising.

Academic Service and Challenge

Reviewer CVPR, ICCV, ECCV, NeurIPS, ICLR, AAAI
Reviewer PAMI, TIP, PR