Lei Zhang

Chair Professor of Computer Vision and Image Analysis

Fellow of IEEE
Department of Computing
The Hong Kong Polytechnic University
Hung Hom, Kowloon, Hong Kong

Office: PQ816
Email: cslzhang at comp.polyu dot edu.hk

I am also with OPPO Research Institute.

Education

3/1998~10/2001

PhD

Dept. of Automatic Control, Northwestern Polytechnical University, Xi'an, China.

9/1995~3/1998

M.Sc

Dept. of Automatic Control, Northwestern Polytechnical University, Xi'an, China.

9/1991~7/1995

B.Sc

Dept. of Aeronautical Engineering, Shenyang Inst. of Aeronautical Engineering, Shenyang, China.

Work Experience

7/2017~present

Chair Professor, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.

7/2015~6/2017

Professor, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.

9/2010~6/2015

Associate Professor, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.

1/2006~8/2010

Assistant Professor, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.

1/2003~1/2006

Postdoctoral Fellow, Dept. of Electrical and Computer Engineering, McMaster University, Canada.

1/2001~1/2003

Research Assistant/Associate, Dept. of Computing, Hong Kong Polytechnic University, Hong Kong.

Visual Computing Lab (our mission):

Y learning and beyond: for future visual enhancement and understanding.

 

My Google Scholar Citation Profile:

http://scholar.google.com/citations?user=tAK5l1IAAAAJ

http://t3.gstatic.com/images?q=tbn:ANd9GcSHajD6zIxvR7ORoWo3YUt1I4QtdrnCXbMSavwRvV19gHyDytAfYgMC900297235[1]

Papers&Codes

News

1.    Our following paper was selected as the "2024 IEEE SPS Best Paper Award":

K. Zhang, W. Zuo, L. Zhang, "FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising," IEEE Trans. on Image Processing, vol. 27, issue 9, pp. 4608-4622, Sept. 2018.

2.    Several PhD Student positions jointly trained with OPPO Research Institute are available. The research topics include Image/Video Restoration/Enhancement, Image/Video Quality Assessment, Diffusion Models, Vision-Language Models, Efficient Network Architectures, etc. Please send me your CV if you have interest.

3.    Several Postdoctoral Fellow or Research Associate positions on Image/Video Generation and Restoration, Image/Video Quality Assessment, Vision-Language Models are available. Please send me your CV if you have interest.

4.    Research Interns on Image/Video Enhancement, Image/Video Quality Assessment, Diffusion Models, Vision-Language Models, etc., are available at OPPO Research Institute. Please send me your CV if you have interest.

Newly accepted

1.      D. Chen, T. Wu, K. Ma, L. Zhang, "Toward Generalized Image Quality Assessment: Relaxing the Perfect Reference Quality Assumption," in CVPR 2025. (paper) (code) (General image quality assessment in the era of generative models!)

2.      C. Xie, M. Li, H. Zeng, J. Luo, L. Zhang, "MaSS13K: A Matting-level Semantic Segmentation Benchmark," in CVPR 2025. (paper) (code) (High resolution and high precision semantic segmentation dataset and model!)

3.      Z. Ma, X. Liang, R. Wu, X. Zhu, Z. Lei, L. Zhang, "Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data," in CVPR 2025. (paper) (code) (Faster and stronger 3D generator!)

4.      L. Sun, R. Wu, Z. Ma, S. Liu, Q. Yi, L. Zhang, "Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach," in CVPR 2025. (paper) (code) (Flexible super-resolution to meet you preference!)

5.      R. Li, T. Yang, S. Guo, L. Zhang, "RORem: Training a Robust Object Remover with Human-in-the-Loop," in CVPR 2025. (paper) (code) (A powerful remove any object model with a large scale paired dataset!)

6.      B. Chen, G. Li, R. Wu, X. Zhang, J. Chen, J. Zhang, L. Zhang, "Adversarial Diffusion Compression for Real-World Image Super-Resolution," in CVPR 2025. (paper) (code) (Extremely efficient generative super-resolution!)

7.      G. Li, B. Chen, C. Zhao, L. Zhang, J. Zhang, "OSMamba: Omnidirectional Spectral Mamba with Dual-Domain Prior Generator for Exposure Correction," in CVPR 2025. (paper) (code)

8.      C. Xiao, M. Li, Z. Zhang, D. Meng, L. Zhang, "Spatial-Mamba: Effective Visual State Space Models via Structure-Aware State Fusion," in ICLR 2025. (paper) (code) (A real visual Mamba model, you just need to scan once!)

9.      Z. Zhang, R. Li, L. Zhang, "FreCaS: Efficient Higher-Resolution Image Generation via Frequency-aware Cascaded Sampling," in ICLR 2025. (paper) (code) (Generating higher-resolution images better and faster!)

10.  X. Kong, K. Huang, P. Li, L. Zhang, "Toward Generalizing Visual Brain Decoding to Unseen Subjects," in ICLR 2025. (paper) (code) (Can visual brain encoding be generalized?)

11.  M. Ni, Y. Fan, L. Zhang, W. Zuo, "Visual-O1: Understanding Ambiguous Instructions via Multi-modal Multi-turn Chain-of-thoughts Reasoning," in ICLR 2025. (paper) (code)

Preprint

1.    S. Liu, J. Ma, L. Sun, X. Kong, L. Zhang, "InstructRestore: Region-Customized Image Restoration with Human Instructions," preprint. (paper) (code) (Restore the image as you wish!)

2.    Y. Wu, L. Chen, R. Li, S. Wang, C. Xie, L. Zhang, "InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset Construction," preprint. (paper) (code) (A large-scale instruction-based video editing dataset and an effective model!)

3.    D. Chen, L. Chen, Z. Zhang, L. Zhang, "Generalized and Efficient 2D Gaussian Splatting for Arbitrary-Scale Super-Resolution," preprint. (paper) (code) (Effective and efficient ASR with GS representation!)

4.    H. Wei, S. Liu, C. Yuan, L. Zhang, "Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models," preprint. (paper) (code) (Can autoregressive multimodal models do generative image restoration?)

5.    W. Li, Y. Yuan, J. Liu, D. Tang, S. Wang, J. Zhu, L. Zhang, "TokenPacker: Efficient Visual Projector for Multimodal LLM," preprint. (paper) (code) (Up to 89% visual token compression!)

6.    L. Sun, R. Wu, Z. Zhang, H. Yong, L. Zhang, "Improving the Stability of Diffusion Models for Content Consistent Super-Resolution," preprint. (paper) (code)

7.    X. Kong, C. Dong, L. Zhang, "Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy," preprint. (paper) (code&data)