Zongsheng Yue

Zongsheng Yue (岳宗胜)

MMLab@NTU
School of Computer Science and Engineering, Nanyang Technological University

Blk ABN-02b-14, Nanyang Avenue, NTU, Singapore 639789

Email: zsyzam@gmail.com
[Google Scholar] [Github] [ResearchGate]

Biography

I am currently a research fellow at School of Computer Science and Engineering, Nanyang Technological University, working with Prof. Chen Change Loy. I received my Ph.D. degree from School of Mathematics and Statistics, Xi'an Jiaotong University, China, in 2021, under the supervision of Prof. Deyu Meng. Before that, I received my Bachelor degree from the College of Mathematics and System Science, Xinjiang University, in 2015.

Research Interest

My work focus on the noise modeling method in machine learning and the image restoration problem in low-level computer vision. Specifically, I mainly investigate how to design more efficient and interpretable image restoration models by incorporating the more robust noise modeling technologies and the classical Bayesian methods. Recently, I focus on the following research topics:

Diffusion model and its application
Noise modeling
Blind image restoration
Bayesian methods in image processing

News

2024.9.13: The exteneded journal version of ResShift has been accepted by TPAMI.
2024.7.19: DifFace has been accepted by TPAMI.
2024.6.29: StableSR has been accepted by IJCV.
2024.6.02: Our recent work MOWA, a general image warping framework, is available on arXiv.
2024.6.02: We have exteneded ResShift to a journal paper, capable of handling general restoration tasks. Welcome to follow.
2024.2.05: Our work VIRNet for blind imaage restoration has been accepted by TPAMI 2024.
2023.9.22: Our recent work ResShift has been accepted by NeurIPS 2023 as a spotlight presentation.
2023.7.31: We release the source Code of ResShift.

Research Experiences

	MMLab@NTU, Nanyang Technological University, Singapore Research Fellow, Apr. 2022 ~ present Supervisor: Prof. Chen Change Loy
	Computer Vision Group, The University of Hong Kong, Hong Kong Postdoctoral Researcher, Sep. 2021 ~ Mar. 2022 Supervisor: Assoc Prof. Kenneth K.Y. Wong
	DAMO Academy, Alibaba Group, Shenzhen, China Research Intern, Mar. 2021 ~ Sep. 2021 Supervisor: Prof. Lei Zhang
	Department of Computing, The Hong Kong Polytechnic University, Hong Kong Research Assistant, Oct. 2018 ~ Jun. 2019 Supervisor: Prof. Lei Zhang
	Institute of Future Cities, The Chinese University of Hong Kong, Hong Kong Research Assistant, Feb. 2017 ~ Sep. 2017 Supervisor: Prof. Leung Yee

Preprint

MOWA: Multiple-in-One Image Warping Model

Kang Liao, Zongsheng Yue, Zhonghua Wu, Chen Change Loy
arXiv:2404.10716, 2024
[Paper] [Code] [Project]

Selected Publications [Full List]

	Efficient Diffusion Model for Image Restoration by Residual Shifting Zongsheng Yue, Jianyi Wang, Chen Change Loy IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2024. [Paper] [Code] [Project]
	Blind Image Deconvolution by Generative-based Kernel Prior and Initializer via Latent Encoding Jiangtao Zhang, Zongsheng Yue, Hui Wang, Qian Zhao, Deyu Meng European Conference on Computer Vision (ECCV), 2024. [Paper] [Code]
	DifFace: Blind Face Restoration via Diffused Error Contraction Zongsheng Yue, Chen Change Loy IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2024. [Paper] [Code] [Demo]
	Exploiting Diffusion Prior for Real-World Image Super-resolution Jianyi Wang, Zongsheng Yue, Shangchen Zhou, Kelvin C.K. Chan, Chen Change Loy International Journal of Computer Vision(IJCV), 2024. [Paper] [Code] [Project]
	Variational Image Restoration Network Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, Deyu Meng, Kwan-Yee K. Wong IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2024. [Paper] [Code]
	ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting Zongsheng Yue, Jianyi Wang, Chen Change Loy Neural Information Processing Systems(NeurIPS), *Spotlight*, 2023. [Paper] [Code] [Project]
	Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng, K.-Y. K. Wong IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [Paper] [Code]
	Semi-Supervised Video Deraining with Dynamical Rain Generator Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [Paper] [Code] [Supp]
	From Rain Generation to Rain Removal Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Yefeng Zheng, Deyu Meng (Equal Contribution) IEEE International Conference on Computer Vision and Pattern Recognition (CVPR*), 2021. [Paper] [Code]
	Dual Adversarial Network: Toward Real-World Noise Removal and Noise Generation Zongsheng Yue, Qian Zhao, Lei Zhang, Deyu Meng European Conference on Computer Vision (ECCV), 2020. [Paper] [Code] [Supp]
	Variational Denoising Network: Toward Blind Noise Modeling and Removal Zongsheng Yue, Hongwei Yong, Qian Zhao, Lei Zhang, Deyu Meng Neural Information Processing Systems(NeurIPS), 2019. [Paper] [Code] [Supp]
	Robust Multiview Subspace Learning With Nonindependently and Nonidentically Distributed Complex Noise Zongsheng Yue, Hongwei Yong, Deyu Meng, Qian Zhao, Yee Leung, Lei Zhang IEEE International Conference on Neural Networks and Learning Systems (TNNLS), 2019. [Paper] [Code] [Supp]
	Semi-supervised Learning through Adaptive Laplacian Graph Trimming Zongsheng Yue, Deyu Meng, Juan He, Gemeng Zhang Image and Vision Computing(IVC), 2017. [Paper] [Code]