Publications

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* = equal contribution, and ✉ = corresponding author

NeurIPS Position

Position: Evaluation of Visual Processing Should Be Human-Centered, Not Metric-Centered

Fanghua Yu, Jinfan Hu, Zhiyuan You, Xiang Yin, Hongyu An, Xinqi Lin, Hongyang Li, Chao Dong, Jinjin Gu✉
Neural Information Processing Systems (NeurIPS), 2026, Position Paper Track
Links: arXiv

NeurIPS

LongSCOP: Semantically Consistent Long Video Outpainting

Yu Tang, Zhiyuan You, Zhixiao Wang, Fanghua Yu, Qingyu Zhang, Xiang Yin, Chao Dong, Jinjin Gu✉
Neural Information Processing Systems (NeurIPS), 2026
Links: arXiv

NeurIPS

Harnessing Image Diffusion Prior for Photo-Realistic Video Restoration

Fanghua Yu, Hongyu An, Jinfan Hu, Xinqi Lin, Zhiyuan You, Jian Wang, Hongyang Li, Chao Dong, Jinjin Gu✉
Neural Information Processing Systems (NeurIPS), 2026
Links: arXiv

NeurIPS

LensDesigner: A Self-Improving Agent for Optical Lens Design

Lei Sun, Haoran Liang, Dannong Xu, Yao Gao, Yuyu Geng, Jinjin Gu, Kaiwei Wang, Danda Pani Paudel, Luc Van Gool
Neural Information Processing Systems (NeurIPS), 2026
Links: arXiv

EMNLP

RePro: Proof-Verified Benchmark Rewriting for Reliable Evaluation of LLM Mathematical Problem Solving

Xiyuan Zhou, Zhuoqi Li, Xinlei Wang, Yirui He, Yuhao Wu, Yuheng Cheng, Yan Xu, Junhua Zhao, Jinjin Gu✉
Empirical Methods in Natural Language Processing (EMNLP), 2026
Links: arXiv

Accelerating Masked Image Generation by Learning Controlled Latent Dynamics

Kaiwen Zhu, Quan-Sheng Zeng, Yuandong Pu, Shuo Cao, Xiaohui Li, Yi Xin, Qi Qin, Jiayang Li, Juncheng Yan, Yu Qiao, Jinjin Gu, Yihao Liu
ACM Multimedia (ACM MM), 2026
Links: arXiv

COLM

Refusal Falls off a Cliff: How Safety Alignment Fails in Reasoning?

Qingyu Yin, Chak Tou Leong, Linyi Yang, Wenxuan Huang, Wenjie Li, Xiting Wang, Jaehong Yoon, YunXing, XingYu, Jinjin Gu✉
Conference on Language Modeling (COLM), 2026
Links: arXiv

ECCV

Knowledge-Centric Agents for Workflow Generation in ComfyUI

Zhendong Li, Lei Sun, Ruibo Ming, He Zhang, Danda Pani Paudel, Luc Van Gool, Jinjin Gu✉
European Conference on Computer Vision (ECCV), 2026
Links: arXiv

ICML

Hugging Carbon: Quantifying the Training Carbon Emissions of AI Models at Scale

Xinlei Wang, Ruibo Ming, Jing Qiu, Junhua Zhao, Jinjin Gu✉
International Conference on Machine Learning (ICML), 2026
Links: arXiv | Nebius Papers That Matter

ICML

EngiAgent: Fully Connected Coordination of LLM Agents for Solving Open-ended Engineering Problems with Feasible Solutions

Xiyuan Zhou, Ruixi Zou, Xinlei Wang, Yuheng Cheng, Yan Xu, Junhua Zhao, Jinjin Gu✉
International Conference on Machine Learning (ICML), 2026
Links: arXiv

ICML

Evaluating Parameter Efficient Methods for RLVR

Qingyu Yin, Yulun Wu, Zhennan Shen, Sunbowen Lee, Zhilin Wang, Yanshu Li, Chak Tou Leong, Jiale Kang, Jinjin Gu✉
International Conference on Machine Learning (ICML), 2026
Links: arXiv

ICML

Enhanced Latent-Space Adversarial Training for Super-Resolution

Liangbin Xie, Zheyuan Li, Fanghua Yu, Xinqi Lin, Jun-hao Zhuang, Jinfan Hu, Jinjin Gu, Jiantao Zhou, Chao Dong
International Conference on Machine Learning (ICML), 2026
Links: arXiv

ACL Findings

EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving

Xiyuan Zhou, Xinlei Wang, Yirui He, Ruixi Zou, Yang Wu, Yuheng Cheng, Yulu Xie, Wenxuan Liu, Huan Zhao, Yan Xu, Jinjin Gu✉, Junhua Zhao
Association for Computational Linguistics (ACL), 2026, Findings
Links: arXiv

Revisiting the Generalization Problem of Low-level Vision Models Through the Lens of Image Deraining

Jinfan Hu, Zhiyuan You, Jinjin Gu, Kaiwen Zhu, Tianfan Xue, Chao Dong
Pattern Recognition (PR), 2026
Links: Link

TMM

Density-Aware Video Desnowing with Robust Alignment on a Large-Scale Dataset

Haoyu Chen, Jingjing Ren, Jiaxing Shen, Sixiang Chen, Jinjin Gu, Ping Tan, Lei Zhu
IEEE Transactions on Multimedia (TMM), 2026
Links: Link

Nature Reviews

Structural Alignment for Energy-Computation Co-Design

Xin Lu, Jing Qiu, Xinlei Wang, Jinjin Gu, Jiafeng Lin, Sihai An, Junhua Zhao
Nature Reviews Electrical Engineering, 2026
Links: Website

CVPR

PhotoFramer: Multi-modal Image Composition Instruction

Zhiyuan You, Ke Wang, He Zhang, Xin Cai, Jinjin Gu, Tianfan Xue, Chao Dong, Zhoutong Zhang
Computer Vision and Pattern Recognition (CVPR), 2026
Links: arXiv

CVPR Findings

How Far Have We Gone in Generative Image Restoration? A Study on Its Capability, Limitations and Evaluation Practices

Xiang Yin, Jinfan Hu, Zhiyuan You, Kainan Yan, Yu Tang, Chao Dong, Jinjin Gu✉
Computer Vision and Pattern Recognition (CVPR) Findings, 2026
Links: arXiv

CVPR Findings

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

Haoyu Chen, Keda Tao, Yizao Wang, Xinlei Wang, Lei Zhu, Jinjin Gu✉
Computer Vision and Pattern Recognition (CVPR) Findings, 2026,
Links: arXiv

SIGGRAPH Asia

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
SIGGRAPH Asia, 2025, ACM Transactions on Graphics (TOG)
Links: arXiv | Project | Code | Try it here! | Video

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 Recognition (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

Two-phase Hair Image Synthesis by A Self-Enhancing Generative Model

Haonan Qiu, Chuan Wang, Hang Zhu, Xiangyu Zhu, Jinjin Gu, Xiaoguang Han
Computer Graphics Forum, Volume 38 (2019), Number 7, In Pacific Graphics (PG), 2019
Links: PDF

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

ECCVW

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, Workshop
Links: PDF | Project