草榴社区

基本信息

姓 名 : 郭春乐

性 别 :

所属部门: 计算机科学与技术系

行政职务:

职 称 : 副教授

学 历 : 博士后

所学专业: 信息与通信工程

办公电话:

电子邮件: [email protected]

研究方向: 图像增强与复原、底层视觉、AIGC、AI ISP

个人简介:

郭春乐,草榴社区 副教授,博导,入选草榴社区 “百名青年学科带头人培养计划”,第十届中国科协青年托举计划,2023 OPEN100 开源贡献人才榜,2024、2025斯坦福全球前2%顶尖科学家榜,2024爱思唯尔中国高被引学者。研究内容包括计算成像、图像增强与复原等。谷歌学术引用1万余次,其中一作单篇最高引用2400余次。主持国自然、天津市青年项目(B类)以及华为、三星等资助的项目。参与组织2022-2025年VALSE大会,现任VALSE EAC、IEEE Journal of Oceanic Engineering(SCI二区)编委,CVPR 2026领域主席。


主要研究方向:

图像与视频修复与增强

人工智能图像信号处理(如原始图像降噪)

机器学习驱动的图像质量评估

生成式图像修复

多光谱色彩修复

计算成像


Publications:

  1. Yuang Meng#, Xin Jin#, Lina Lei, Chun-Le Guo*, Chongyi Li, UltraLED: Learning to See Everything in Ultra-High Dynamic Range Scenes, Neural Information Processing Systems (NeurIPS), 2025.
  2. Xin Jin, Simon Niklaus, Zhoutong Zhang, Zhihao Xia, Chunle Guo*, Yuting Yang, Jiawen Chen, Chongyi Li, Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
  3. Siyu Liu#, Zheng-Peng Duan#, Jia OuYang, Jiayi Fu, Hyunhee Park, Zikun Liu, Chun-Le Guo*, Chongyi Li, FaceMe: Robust blind face restoration with personal identification, AAAI Conference on Artificial Intelligence (AAAI).
  4. Ruiqi Wu, Liangyu Chen, Tong Yang, Chunle Guo*, Chongyi Li, Xiangyu Zhang, LAMP: Learn A Motion Pattern for Few-Shot Video Generation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [Paper][中译版]
  5. Chujie Qin, Ruiqi Wu, Zikun Liu, Xin Lin, Chunle Guo, Hyun Hee Park, Chongyi Li*, Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration, European Conference on Computer Vision(ECCV), 2024. [Paper][中译版]
  6. Xin Jin, Linghao Han, Zhen Li, Zhi Chai, Chunle Guo*, Chongyi Li, DNF: Decouple and Feedback Network for Seeing in the Dark, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.[Paper][Project][Highlight, 2.5% acceptance rate][中译版]
  7. Ruiqi Wu, Zhengpeng Duan, Chunle Guo*, Zhi Chai, Chongyi Li, RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [Paper][Project][中译版]
  8. Zhen Li, Zuoliang Zhu, Linghao Han, Qibin Hou, Chunle Guo*, Ming-Ming Cheng, AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [Paper][Code][中译版]
  9. Chunle Guo#, Ruiqi Wu#, Xin Jin, Linghao Han, Zhi Chai, Weidong Zhang, and Chongyi Li*, Underwater Ranker: Learn Which Is Better and How to Be Better, AAAI Conference on Artificial Intelligence (AAAI), 2023. [PDF-arXiv version][Project]
  10. Zheng Lin, Zheng-Peng Duan, Zhao Zhang, Chunle Guo*, Ming-Ming Cheng, KnifeCut: Refining Thin Part Segmentation with Cutting Lines, Proceedings of the 30th ACM International Conference on Multimedia(ACM MM), 2022. [Paper
  11. Zuo-Liang Zhu, Zhen Li, Rui-Xun Zhang, Chunle Guo*, Ming-Ming Cheng, Designing an Illumination-Aware Network for Deep Image Relighting, IEEE Transactions on Image Processing (TIP), 2022. [Paper] [Code]
  12. Chunle Guo, Qixin Yan, Chongyi Li*, et al., Image Dehazing Transformer with Transmission-Aware 3D Position Embedding, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2022. [Paper][Code][Project]
  13. Zheng Lin, Zhengpeng Duan, Zhao Zhang, Chunle Guo*, Ming-Ming Cheng, FocusCut: Diving into a Focus View in Interactive Segmentation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2022. [Paper][Project]
  14. Zhen Li#, Chengze Lu#, Jianhua Qin, Chunle Guo*, Ming-Ming Cheng, Towards An End-to-End Framework for Flow-Guided Video Inpainting, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [Paper] [Code]
  15. Chongyi Li#, Chunle Guo#, and Chen Change Loy*, Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2021. [PDF-arXiv version][PDF-offical version][Project][Invited Talk 商汤学术 AI画质@B站, in Chinese]
  16. Chongyi Li#, Chunle Guo#, Linghao Han, et al. Low-Light Image and Video Enhancement Using Deep Learning: A Survey, IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2021. [Paper ][Code][中译版]
  17. Chunle Guo, Junhui Hou*, Jing Jin, et al., Accurate Light Field Depth Estimation via an Occlusion-Aware Network, in IEEE International Conference on Multimedia & Expo(ICME), 2020.[Paper]
  18. Chunle Guo, Chongyi Li, Jichang Guo*, et al., Zero-Reference Learning for Low-Light Image Enhancement, in IEEE Conference on Computer Vision and Pattern Recognition, 2020.[Paper][Supplementary Material][Preject][Code]
  19. Chongyi Li, Chunle Guo, Wenqi Ren*, et al., An Underwater Image Enhancement Benchmark Dataset and Beyond, in IEEE Transactions on Image Processing (TIP), 2019.[Paper][Project][Benchmark][Code]
  20. Chunle Guo#, Chongyi Li#*, Jichang Guo, et al., Hierarchical features driven residual learning for depth map super-resolution, IEEE Transactions on Image Processing (TIP), 2019.[Paper][Project][Code]

Notes: Joint first authors are indicated using # and corresponding authors are indicated using *.