Ruicheng Feng

I am currently a Senior Researcher at Tencent Hunyuan, Singapore. Before that, I received my Ph.D. in MMLab@NTU, Nanyang Technological University, supervised by Prof. Chen Change Loy. Prior to joining NTU, I worked closely with Prof. Chao Dong and Prof. Yu Qiao. I received my B.S. degree from Xi'an Jiaotong University. My research interests include computer vision and computational photography, with a focus on working on low-level vision and multimodal generation & editing.

Email  /  Google Scholar  /  GitHub

News

  • [07/2024] One paper to appear in ECCV 2024.
  • [04/2024] One paper accpeted to TPAMI.
  • [12/2023] We organize the 3rd workshop Mobile Intelligent Photography and Imaging (MIPI) in CVPR 2024.
  • [12/2023] I am selected as Top Reviewer of NeurIPS 2023.
  • [07/2023] One paper to appear in ICCV 2023.
  • [03/2023] One paper to appear in CVPR 2023.
  • [01/2023] One paper to appear in ICLR 2023.
  • [12/2022] We organize the 2nd workshop Mobile Intelligent Photography and Imaging (MIPI) in CVPR 2023.
  • [09/2022] One paper to appear in NeurIPS 2022.
  • [04/2022] We organize a the 1st workshop Mobile Intelligent Photography and Imaging (MIPI) in ECCV 2022.
  • [03/2021] One paper to appear in CVPR 2021.
  • [01/2020] Start a new journey in MMLab@NTU .
  • [05/2019] Our team got winner adward in the NTIRE 2019 Real Image Super-Resolution challenges. Check out our Paper for more details.
  • Research

    My current research interest lies in computer vision, especially image restoration, computation photography, image generation, and image synthesis.

    Kalman-Inspired Feature Propagation for Video Face Super-Resolution
    Ruicheng Feng,  Chongyi Li,  Chen Change Loy
    European Conference on Computer Vision (ECCV), 2024
    [ Paper ] [ Code ] [ Hugging Face ] [ Project Page ]
    Flare7K++: Mixing Synthetic and Real Datasets for Nighttime Flare Removal and Beyond
    Yuekun Dai,  Chongyi Li,  Shangchen Zhou,  Ruicheng Feng,  Yihang Luo,  Chen Change Loy, 
    Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
    [ Paper ] [ Code ] [ Dataset ]
    Iterative Prompt Learning for Unsupervised Backlit Image Enhancement
    Zhexin Liang,  Chongyi Li,  Shangchen Zhou,  Ruicheng Feng,  Chen Change Loy, 
    International Conference on Computer Vision (ICCV), 2023
    Oral Presentation
    [ Paper ] [ Project Page ] [ Video ]
    Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera
    Ruicheng Feng,  Chongyi Li,  Huaijin Chen,  Shuai Li,  Jinwei Gu,  Chen Change Loy
    Computer Vision and Pattern Recognition (CVPR), 2023
    [ Paper ] [ Project Page ] [ Code ]
    Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement
    Chongyi Li,  Chunle Guo,  Man Zhou,  Zhexin Liang,  Shangchen Zhou,  Ruicheng Feng,  Chen Change Loy, 
    International Conference on Learning Representations (ICLR), 2023
    Oral Presentation
    [ Paper ] [ Project Page ]
    FlexiCurve: Flexible Piecewise Curves Estimation for Photo Retouching
    Chongyi Li,  Chunle Guo,  Shangchen Zhou,  Qiming Ai,  Ruicheng Feng,  Chen Change Loy, 
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
    Oral Presentation
    [ Paper ] [ Project Page ]
    Flare7K: A Phenomenological Nighttime Flare Removal Dataset
    Yuekun Dai,  Chongyi Li,  Shangchen Zhou,  Ruicheng Feng,  Chen Change Loy, 
    Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS Dataset Track), 2022
    [ Paper ] [ Project Page ] [ Code ] [ Video ]
    CuDi: Curve Distillation for Efficient and Controllable Exposure Adjustment
    Chongyi Li,  Chunle Guo,  Ruicheng Feng,  Shangchen Zhou,  Chen Change Loy, 
    Technical Report, arXiv, 2022
    [ Paper ] [ Project Page ]
    Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network
    Ruicheng Feng,  Chongyi Li,  Huaijin Chen,  Shuai Li,  Chen Change Loy,  Jinwei Gu
    Computer Vision and Pattern Recognition (CVPR), 2021
    [ Paper ] [ Project Page ] [ Code ]
    Exploring Multi-Scale Feature Propagation and Communication for Image Super Resolution
    Ruicheng Feng,  Weipeng Guan,  Yu Qiao,  Chao Dong
    Technical Report, arXiv, 2020
    [ Paper ]
    Suppressing Model Overfitting for Image Super-Resolution Networks
    Ruicheng Feng,  Jinjin Gu,  Yu Qiao,  Chao Dong
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2019
    Winner Award , NTIRE 2019 Challenges on Real Image Super-Resolution
    [ Paper ]
    Academic Service

  • Conference and Workshop Committee: Co-organizer of 3rd Mobile Intelligent Photography and Imaging (MIPI), CVPR 2024; Co-organizer of 2nd Mobile Intelligent Photography and Imaging (MIPI), CVPR 2023; Co-organizer of Mobile Intelligent Photography and Imaging (MIPI), ECCV 2022
  • Conference reviewer: ICCV, CVPR, ECCV, ICLR, NeurIPS, SIGGRAPH
  • Journal reviewer: TCSVT, IJCV, TPAMI, JOE



  • Thanks Jon Barron for sharing the website code.