Publications

Check Google Scholar Profile for full list.
* = equal contribution, and ✉ = corresponding author

arXiv

Harnessing Diffusion-Yielded Score Priors for Image Restoration

Xinqi Lin, Fanghua Yu, Jinfan Hu, Zhiyuan You, Wu Shi, Jimmy S. Ren, Jinjin Gu✉, Chao Dong
arXiv, 2025
Links: arXiv | Project | Code | Try it here! | Video

arXiv

PhotoArtAgent: Intelligent Photo Retouching with Language Model-Based Artist Agents

Haoyu Chen, Keda Tao, Yizao Wang, Xinlei Wang, Lei Zhu, Jinjin Gu✉
arXiv, 2025
Links: arXiv

arXiv

Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing

Jinjin Gu✉
arXiv, 2025
Links: arXiv

TPAMI

Interpreting Low-level Vision Models with Causal Effect Maps

Jinfan Hu, Jinjin Gu, Shiyao Yu, Fanghua Yu, Zheyuan Li, Zhiyuan You, Chaochao Lu, Chao Dong
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Links: arXiv

CVPR

Teaching Large Language Models to Regress Accurate Image Quality Scores using Score Distribution

Zhiyuan You, Xin Cai, Jinjin Gu, Tianfan Xue, Chao Dong
Computer Vision and Pattern Recognition (CVPR), 2025
Links: PDF | Project

ICLR

An Intelligent Agentic System for Complex Image Restoration Problems

Kaiwen Zhu*, Jinjin Gu*, Zhiyuan You, Yu Qiao, Chao Dong
International Conference on Learning Representations (ICLR), 2025
Links: PDF | Project

ICLR

UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models

Fanghua Yu, Jinjin Gu, Jinfan Hu, Zheyuan Li, Chao Dong
International Conference on Learning Representations (ICLR), 2025
Links: PDF | Project

ICLR Spotlight

Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model

Keda Tao, Jinjin Gu✉, Yulun Zhang, Xiucheng Wang, Nan Cheng
International Conference on Learning Representations (ICLR), 2025, Spotlight
Links: PDF | Project

NeurIPS

RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models

Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Sixiang Chen, Tian Ye, Renjing Pei, Kaiwen Zhou, Fenglong Song, Lei Zhu
Neural Information Processing Systems (NeurIPS), 2024
Links: PDF | Project

NeurIPS

From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection

Xinlei Wang, Maike Feng, Jing Qiu, Jinjin Gu✉, Junhua Zhao
Neural Information Processing Systems (NeurIPS), 2024
Links: PDF | Project

ECCV

Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models

Zhiyuan You*, Zheyuan Li*, Jinjin Gu*, Zhenfei Yin, Tianfan Xue, Chao Dong
European Conference on Computer Vision (ECCV), 2024
Links: PDF | Project

CVPR

Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild

Fanghua Yu*, Jinjin Gu*, Zheyuan Li, Jinfan Hu, Xiangtao Kong, Xintao Wang, Jingwen He, Yu Qiao, Chao Dong
Computer Vision and Pattern Recognition (CVPR), 2024
Links: PDF | Project | Code | Try it here!

CVPR

Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning

Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Haoze Sun, Xueyi Zou, Youliang Yan, Zhensong Zhang, Lei Zhu
Computer Vision and Pattern Recognition (CVPR), 2024
Links: PDF | Project

ICLR

Recursive Generalization Transformer for Image Super-Resolution

Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang
International Conference on Learning Representations (ICLR), 2024
Links: PDF | Project

ICLR

Xformer: Hybrid X-Shaped Transformer for Image Denoising

Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang
International Conference on Learning Representations (ICLR), 2024
Links: PDF | Project

NeurIPS

Networks Are Slacking Off: Understanding Generalization Problem in Image Deraining

Jinjin Gu, Xianzheng Ma, Xiangtao Kong, Yu Qiao, Chao Dong
Neural Information Processing Systems (NeurIPS), 2023
Links: PDF

NeurIPS Spotlight

Hierarchical Integration Diffusion Model for Realistic Image Deblurring

Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, Xin Yuan
Neural Information Processing Systems (NeurIPS), 2023, Spotlight
Links: PDF | Project

ICCV

Snow Removal in Video: A New Dataset and A Novel Method

Haoyu Chen, Jingjing Ren, Jinjin Gu, Hongtao Wu, Xuequan Lu, Haoming Cai, Lei Zhu
International Conference on Computer Vision (ICCV), 2023
Links: PDF | Project | Dataset

ICCV

Dual Aggregation Transformer for Image Super-Resolution

Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Guihai Chen, Xiaokang Yang, Fisher Yu
International Conference on Computer Vision (ICCV), 2023
Links: PDF | Project

ICML

Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution

Ruofan Zhang, Jinjin Gu✉, Haoyu Chen, Chao Dong, Yulun Zhang, Wenming Yang
International Conference on Machine Learning (ICML), 2023
Links: PDF

CVPR Highlight

DegAE: A New Pretraining Paradigm for Low-level Vision

Yihao Liu, Jingwen He, Jinjin Gu, Xiangtao Kong, Yu Qiao, Chao Dong
Computer Vision and Pattern Recognition (CVPR), 2023, Highlight
Links: PDF | Code

CVPR

Masked Image Training for Generalizable Deep Image Denoising

Haoyu Chen*, Jinjin Gu*, Yihao Liu, Salma Abdel Magid, Chao Dong, Qiong Wang, Hanspeter Pfister, Lei Zhu
Computer Vision and Pattern Analysis and Machine Intelligence (CVPR), 2023
Links: PDF | Project & Code

ICLR Spotlight

Accurate Image Restoration With Attention Retractable Transformer

Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan
International Conference on Learning Representations (ICLR), 2023, Spotlight
Links: PDF | Code

AAAI

Mitigating Artifacts in Real-World Video Super-Resolution Models

Liangbin Xie, Xintao Wang, Shuwei Shi, Jinjin Gu, Chao Dong, Ying Shan
AAAI Conference on Artificial Intelligence (AAAI), 2023
Links: PDF | Code

TPAMI

Evaluating the Generalization Ability of Super-Resolution Networks

Yihao Liu, Hengyuan Zhao, Jinjin Gu, Yu Qiao, Chao Dong
IEEE Transactions on Pattern Analysis and Machine Intelligence TPAMI, 2023
Links: arXiv | Code

TPAMI

Blind Image Super-Resolution: A Survey and Beyond

Anran Liu, Yihao Liu, Jinjin Gu, Yu Qiao, Chao Dong
IEEE Transactions on Pattern Analysis and Machine Intelligence TPAMI, 2022
Links: arXiv

Cell Patterns

AI-Enabled Image Fraud in Scientific Publications

Jinjin Gu, Xinlei Wang, Chenang Li, Junhua Zhao, Weijin Fu, Gaoqi Liang, Jing Qiu
Patterns, Cell Press, 2022
Links: PDF

NeurIPS

Rethinking Alignment in Video Super-Resolution Transformers

Shuwei Shi*, Jinjin Gu*, Liangbin Xie, Xintao Wang, Yujiu Yang, Chao Dong
Neural Information Processing Systems (NeurIPS), 2022
Links: PDF | Project | Code | Poster | Video (CN)

NeurIPS Spotlight

Cross Aggregation Transformer for Image Restoration

Chen Zheng, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan
Neural Information Processing Systems (NeurIPS), 2022, Spotlight
Links: PDF | Code

ECCV

Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images

Jinjin Gu, Haoming Cai, Chenyu Dong, Ruofan Zhang, Yulun Zhang, Wenming Yang, Chun Yuan
European Conference on Computer Vision (ECCV), 2022
Links: PDF | Code

ICCP

Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline

Guocheng Qian*, Yuanhao Wang*, Chao Dong, Jimmy S. Ren, Wolfgang Heidrich, Bernard Ghanem, Jinjin Gu✉
International Conference on Computational Photography (ICCP), 2022
Links: arXiv | Code | Dataset

CVPR

Reflash Dropout in Image Super-Resolution

Xiangtao Kong, Xina Liu, Jinjin Gu, Yu Qiao, Chao Dong
Computer Vision and Pattern Recognition (CVPR), 2022

Talk 2022.5 (CN)
Links: PDF | Project and Code

CVPR

A Texture-based Error Analysis for Image Super-Resolution

Salma Abdel Magid, Zudi Lin, Donglai Wei, Yulun Zhang, Jinjin Gu, Hanspeter Pfister
Computer Vision and Pattern Recognition (CVPR), 2022
Links: PDF

CVPR

Interpreting Super-Resolution Networks with Local Attribution Maps

ECCV

PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration

CVPR

Image Processing Using Multi-Code GAN Prior

Jinjin Gu, Yujun Shen, Bolei Zhou
Computer Vision and Pattern Recognition (CVPR), 2020
Links: PDF | Project | Code

CVPR

Interpreting the Latent Space of GANs for Semantic Face Editing

Yujun Shen, Jinjin Gu, Xiaoou Tang, Bolei Zhou
Computer Vision and Pattern Recognition (CVPR), 2020
Links: PDF | Project | Code | Video

CVPR

Blind Super-Resolution With Iterative Kernel Correction

Jinjin Gu, Hannan Lu, Wangmeng Zuo, Chao Dong
Computer Vision and Pattern Recognition (CVPR), 2019
Links: PDF | Project

ECCV

Enhanced Super-Resolution Generative Adversarial Networks (ESRGAN)

Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Chen Change Loy, Yu Qiao, Xiaoou Tang
European Conference on Computer Vision (ECCV), 2018
Links: PDF | Project