Jinjin Gu

115 papers A* 27B 1Journal 73Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerating Masked Image Generation by Learning Latent Controlled Dynamics.
CoRR
Kaiwen Zhu, Quansheng Zeng, Yuandong Pu, Shuo Cao, Xiaohui Li, Yi Xin, Qi Qin, Jiayang Li, Yu Qiao, Jinjin Gu, Yihao Liu
2026 J jnl
How far have we gone in Generative Image Restoration? A study on its capability, limitations and evaluation practices.
CoRR
Xiang Yin, Jinfan Hu, Zhiyuan You, Kainan Yan, Yu Tang, Chao Dong, Jinjin Gu
2026 J jnl
Position: Evaluation of Visual Processing Should Be Human-Centered, Not Metric-Centered.
CoRR
Jinfan Hu, Fanghua Yu, Zhiyuan You, Xiang Yin, Hongyu An, Xinqi Lin, Chao Dong, Jinjin Gu
2026 J jnl
Revisiting the generalization problem of low-level vision models through the lens of image deraining.
Pattern Recognit.
Jinfan Hu, Zhiyuan You, Jinjin Gu, Kaiwen Zhu, Tianfan Xue, Chao Dong
2025 A* conf
An Intelligent Agentic System for Complex Image Restoration Problems.
ICLR
Kaiwen Zhu, Jinjin Gu, Zhiyuan You, Yu Qiao, Chao Dong
2025 J jnl
EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving.
CoRR
Xiyuan Zhou, Xinlei Wang, Yirui He, Yang Wu, Ruixi Zou, Yuheng Cheng, Yulu Xie, Wenxuan Liu, Huan Zhao, Yan Xu, Jinjin Gu, Junhua Zhao
2025 J jnl
Enhancing Descriptive Image Quality Assessment With a Large-Scale Multi-Modal Dataset.
IEEE Trans. Image Process.
Zhiyuan You, Jinjin Gu, Xin Cai, Zheyuan Li, Kaiwen Zhu, Chao Dong, Tianfan Xue
2025 J jnl
Evaluating Parameter Efficient Methods for RLVR.
CoRR
Qingyu Yin, Yulun Wu, Zhennan Shen, Sunbowen Li, Zhilin Wang, Yanshu Li, Chak Tou Leong, Jiale Kang, Jinjin Gu
2025 J jnl
Harnessing Diffusion-Yielded Score Priors for Image Restoration.
CoRR
Xinqi Lin, Fanghua Yu, Jinfan Hu, Zhiyuan You, Wu Shi, Jimmy S. Ren, Jinjin Gu, Chao Dong
2025 J jnl
Harnessing Diffusion-Yielded Score Priors for Image Restoration.
ACM Trans. Graph.
Xinqi Lin, Fanghua Yu, Jinfan Hu, Zhiyuan You, Wu Shi, Jimmy S. Ren, Jinjin Gu, Chao Dong
2025 J jnl
Interpreting Low-Level Vision Models With Causal Effect Maps.
IEEE Trans. Pattern Anal. Mach. Intell.
Jinfan Hu, Jinjin Gu, Shiyao Yu, Fanghua Yu, Zheyuan Li, Zhiyuan You, Chaochao Lu, Chao Dong
2025 A* conf
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model.
ICLR
Keda Tao, Jinjin Gu, Yulun Zhang, Xiucheng Wang, Nan Cheng
2025 J jnl
PhotoArtAgent: Intelligent Photo Retouching with Language Model-Based Artist Agents.
CoRR
Haoyu Chen, Keda Tao, Yizao Wang, Xinlei Wang, Lei Zhu, Jinjin Gu
2025 J jnl
PhotoFramer: Multi-modal Image Composition Instruction.
CoRR
Zhiyuan You, Ke Wang, He Zhang, Xin Cai, Jinjin Gu, Tianfan Xue, Chao Dong, Zhoutong Zhang
2025 J jnl
Position: Agentic Systems Constitute a Key Component of Next-Generation Intelligent Image Processing.
CoRR
Jinjin Gu
2025 J jnl
Refusal Falls off a Cliff: How Safety Alignment Fails in Reasoning?
CoRR
Qingyu Yin, Chak Tou Leong, Linyi Yang, Wenxuan Huang, Wenjie Li, Xiting Wang, Jaehong Yoon, YunXing, XingYu, Jinjin Gu
2025 J jnl
Revisiting the Generalization Problem of Low-level Vision Models Through the Lens of Image Deraining.
CoRR
Jinfan Hu, Zhiyuan You, Jinjin Gu, Kaiwen Zhu, Tianfan Xue, Chao Dong
2025 A* conf
Teaching Large Language Models to Regress Accurate Image Quality Scores Using Score Distribution.
CVPR
Zhiyuan You, Xin Cai, Jinjin Gu, Tianfan Xue, Chao Dong
2025 J jnl
Teaching Large Language Models to Regress Accurate Image Quality Scores using Score Distribution.
CoRR
Zhiyuan You, Xin Cai, Jinjin Gu, Tianfan Xue, Chao Dong
2025 J jnl
Toward Reasoning-Centric Time-Series Analysis.
CoRR
Xinlei Wang, Mingtian Tan, Jing Qiu, Junhua Zhao, Jinjin Gu
2025 A* conf
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models.
ICLR
Fanghua Yu, Jinjin Gu, Jinfan Hu, Zheyuan Li, Chao Dong
2025 J jnl
UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models.
CoRR
Fanghua Yu, Jinjin Gu, Jinfan Hu, Zheyuan Li, Chao Dong
2024 J jnl
A Preliminary Exploration Towards General Image Restoration.
CoRR
Xiangtao Kong, Jinjin Gu, Yihao Liu, Wenlong Zhang, Xiangyu Chen, Yu Qiao, Chao Dong
2024 J jnl
An Intelligent Agentic System for Complex Image Restoration Problems.
CoRR
Kaiwen Zhu, Jinjin Gu, Zhiyuan You, Yu Qiao, Chao Dong
2024 — conf
Depicting Beyond Scores: Advancing Image Quality Assessment Through Multi-modal Language Models.
ECCV (47)
Zhiyuan You, Zheyuan Li, Jinjin Gu, Zhenfei Yin, Tianfan Xue, Chao Dong
2024 J jnl
Descriptive Image Quality Assessment in the Wild.
CoRR
Zhiyuan You, Jinjin Gu, Zheyuan Li, Xin Cai, Kaiwen Zhu, Tianfan Xue, Chao Dong
2024 A* conf
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection.
NeurIPS
Xinlei Wang, Maike Feng, Jing Qiu, Jinjin Gu, Junhua Zhao
2024 J jnl
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection.
CoRR
Xinlei Wang, Maike Feng, Jing Qiu, Jinjin Gu, Junhua Zhao
2024 J jnl
Interpreting Low-level Vision Models with Causal Effect Maps.
CoRR
Jinfan Hu, Jinjin Gu, Shiyao Yu, Fanghua Yu, Zheyuan Li, Zhiyuan You, Chaochao Lu, Chao Dong
2024 J jnl
LM4LV: A Frozen Large Language Model for Low-level Vision Tasks.
CoRR
Boyang Zheng, Jinjin Gu, Shijun Li, Chao Dong
2024 A* conf
Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning.
CVPR
Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Haoze Sun, Xueyi Zou, Zhensong Zhang, Youliang Yan, Lei Zhu
2024 J jnl
Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning.
CoRR
Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Haoze Sun, Xueyi Zou, Zhensong Zhang, Youliang Yan, Lei Zhu
2024 J jnl
Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model.
CoRR
Keda Tao, Jinjin Gu, Yulun Zhang, Xiucheng Wang, Nan Cheng
2024 A* conf
Recursive Generalization Transformer for Image Super-Resolution.
ICLR
Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang
2024 A* conf
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models.
NeurIPS
Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Sixiang Chen, Tian Ye, Renjing Pei, Kaiwen Zhou, Fenglong Song, Lei Zhu
2024 J jnl
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models.
CoRR
Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Sixiang Chen, Tian Ye, Renjing Pei, Kaiwen Zhou, Fenglong Song, Lei Zhu
2024 A* conf
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild.
CVPR
Fanghua Yu, Jinjin Gu, Zheyuan Li, Jinfan Hu, Xiangtao Kong, Xintao Wang, Jingwen He, Yu Qiao, Chao Dong
2024 J jnl
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild.
CoRR
Fanghua Yu, Jinjin Gu, Zheyuan Li, Jinfan Hu, Xiangtao Kong, Xintao Wang, Jingwen He, Yu Qiao, Chao Dong
2024 A* conf
Xformer: Hybrid X-Shaped Transformer for Image Denoising.
ICLR
Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang
2023 A* conf
Accurate Image Restoration with Attention Retractable Transformer.
ICLR
Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan
2023 J jnl
Binarized 3D Whole-body Human Mesh Recovery.
CoRR
Zhiteng Li, Yulun Zhang, Jing Lin, Haotong Qin, Jinjin Gu, Xin Yuan, Linghe Kong, Xiaokang Yang
2023 J jnl
Blind Image Super-Resolution: A Survey and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell.
Anran Liu, Yihao Liu, Jinjin Gu, Yu Qiao, Chao Dong
2023 A* conf
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution.
ICML
Ruofan Zhang, Jinjin Gu, Haoyu Chen, Chao Dong, Yulun Zhang, Wenming Yang
2023 J jnl
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution.
CoRR
Ruofan Zhang, Jinjin Gu, Haoyu Chen, Chao Dong, Yulun Zhang, Wenming Yang
2023 A* conf
DegAE: A New Pretraining Paradigm for Low-Level Vision.
CVPR
Yihao Liu, Jingwen He, Jinjin Gu, Xiangtao Kong, Yu Qiao, Chao Dong
2023 J jnl
Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models.
CoRR
Zhiyuan You, Zheyuan Li, Jinjin Gu, Zhenfei Yin, Tianfan Xue, Chao Dong
2023 A* conf
Dual Aggregation Transformer for Image Super-Resolution.
ICCV
Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu
2023 J jnl
Dual Aggregation Transformer for Image Super-Resolution.
CoRR
Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu
2023 J jnl
Evaluating the Generalization Ability of Super-Resolution Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Yihao Liu, Hengyuan Zhao, Jinjin Gu, Yu Qiao, Chao Dong
2023 A* conf
Hierarchical Integration Diffusion Model for Realistic Image Deblurring.
NeurIPS
Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, Xin Yuan
2023 J jnl
Hierarchical Integration Diffusion Model for Realistic Image Deblurring.
CoRR
Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, Xin Yuan
2023 J jnl
Image Super-Resolution with Text Prompt Diffusion.
CoRR
Zheng Chen, Yulun Zhang, Jinjin Gu, Xin Yuan, Linghe Kong, Guihai Chen, Xiaokang Yang
2023 A* conf
Masked Image Training for Generalizable Deep Image Denoising.
CVPR
Haoyu Chen, Jinjin Gu, Yihao Liu, Salma Abdel Magid, Chao Dong, Qiong Wang, Hanspeter Pfister, Lei Zhu
2023 J jnl
Masked Image Training for Generalizable Deep Image Denoising.
CoRR
Haoyu Chen, Jinjin Gu, Yihao Liu, Salma Abdel Magid, Chao Dong, Qiong Wang, Hanspeter Pfister, Lei Zhu
2023 A* conf
Mitigating Artifacts in Real-World Video Super-resolution Models.
AAAI
Liangbin Xie, Xintao Wang, Shuwei Shi, Jinjin Gu, Chao Dong, Ying Shan
2023 A* conf
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining.
NeurIPS
Jinjin Gu, Xianzheng Ma, Xiangtao Kong, Yu Qiao, Chao Dong
2023 J jnl
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining.
CoRR
Jinjin Gu, Xianzheng Ma, Xiangtao Kong, Yu Qiao, Chao Dong
2023 J jnl
Recursive Generalization Transformer for Image Super-Resolution.
CoRR
Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang
2023 — conf
Self-Supervised Intensity-Event Stereo Matching.
Imaging Sensors and Systems
Jinjin Gu, Jinan Zhou, Ringo Sai Wo Chu, Yan Chen, Jiawei Zhang, Xuanye Cheng, Song Zhang, Jimmy S. Ren
2023 A* conf
Snow Removal in Video: A New Dataset and A Novel Method.
ICCV
Haoyu Chen, Jingjing Ren, Jinjin Gu, Hongtao Wu, Xuequan Lu, Haoming Cai, Lei Zhu
2023 J jnl
Xformer: Hybrid X-Shaped Transformer for Image Denoising.
CoRR
Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang
2022 J jnl
AI-enabled image fraud in scientific publications.
Patterns
Jinjin Gu, Xinlei Wang, Chenang Li, Junhua Zhao, Weijin Fu, Gaoqi Liang, Jing Qiu
2022 J jnl
Accurate Image Restoration with Attention Retractable Transformer.
CoRR
Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan
2022 — conf
Blueprint Separable Residual Network for Efficient Image Super-Resolution.
CVPR Workshops
Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong
2022 J jnl
Blueprint Separable Residual Network for Efficient Image Super-Resolution.
CoRR
Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong
2022 A* conf
Cross Aggregation Transformer for Image Restoration.
NeurIPS
Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan
2022 J jnl
Cross Aggregation Transformer for Image Restoration.
CoRR
Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan
2022 — conf
Efficient Image Super-Resolution Using Vast-Receptive-Field Attention.
ECCV Workshops (2)
Lin Zhou, Haoming Cai, Jinjin Gu, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Yu Qiao, Chao Dong
2022 J jnl
Efficient Image Super-Resolution using Vast-Receptive-Field Attention.
CoRR
Lin Zhou, Haoming Cai, Jinjin Gu, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Yu Qiao, Chao Dong
2022 J jnl
Evaluating the Generalization Ability of Super-Resolution Networks.
CoRR
Yihao Liu, Hengyuan Zhao, Jinjin Gu, Yu Qiao, Chao Dong
2022 J jnl
Mitigating Artifacts in Real-World Video Super-Resolution Models.
CoRR
Liangbin Xie, Xintao Wang, Shuwei Shi, Jinjin Gu, Chao Dong, Ying Shan
2022 — conf
NTIRE 2022 Challenge on Perceptual Image Quality Assessment.
CVPR Workshops
Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Radu Timofte, Yuan Gong, Shanshan Lao, Shuwei Shi, Jiahao Wang, Sidi Yang, Tianhe Wu, Weihao Xia, Yujiu Yang, Mingdeng Cao, Cong Heng, Lingzhi Fu, Rongyu Zhang, Yusheng Zhang, Hao Wang, Hongjian Song, Jing Wang, Haotian Fan, Xiaoxia Hou, Ming Sun, Mading Li, Kai Zhao, Kun Yuan, Zishang Kong, Mingda Wu, Chuanchuan Zheng, Marcos V. Conde, Maxime Burchi, Longtao Feng, Tao Zhang, Yang Li, Jingwen Xu, Haiqiang Wang, Yiting Liao, Junlin Li, Kele Xu, Tao Sun, Yunsheng Xiong, Abhisek Keshari, Komal, Sadbhawana Thakur, Vinit Jakhetiya, Badri N. Subudhi, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Anil Kumar Tiwari
2022 J jnl
NTIRE 2022 Challenge on Perceptual Image Quality Assessment.
CoRR
Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Radu Timofte
2022 — conf
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results.
CVPR Workshops
Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, Wangmeng Zuo, Pavel Ostyakov, Dmitry Vyal, Shakarim Soltanayev, Chervontsev Sergey, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon
2022 J jnl
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results.
CoRR
Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, Wangmeng Zuo, Pavel Ostyakov, Dmitry Vyal, Shakarim Soltanayev, Chervontsev Sergey, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Xin Liu, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon
2022 J jnl
Near Real-time CO
CoRR
Zhengwen Zhang, Jinjin Gu, Junhua Zhao, Jianwei Huang, Haifeng Wu
2022 A* conf
Reflash Dropout in Image Super-Resolution.
CVPR
Xiangtao Kong, Xina Liu, Jinjin Gu, Yu Qiao, Chao Dong
2022 A* conf
Rethinking Alignment in Video Super-Resolution Transformers.
NeurIPS
Shuwei Shi, Jinjin Gu, Liangbin Xie, Xintao Wang, Yujiu Yang, Chao Dong
2022 J jnl
Rethinking Alignment in Video Super-Resolution Transformers.
CoRR
Shuwei Shi, Jinjin Gu, Liangbin Xie, Xintao Wang, Yujiu Yang, Chao Dong
2022 B conf
Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline.
ICCP
Guocheng Qian, Yuanhao Wang, Jinjin Gu, Chao Dong, Wolfgang Heidrich, Bernard Ghanem, Jimmy S. Ren
2022 J jnl
Self-Supervised Intensity-Event Stereo Matching.
CoRR
Jinjin Gu, Jinan Zhou, Ringo Sai Wo Chu, Yan Chen, Jiawei Zhang, Xuanye Cheng, Song Zhang, Jimmy S. Ren
2022 — conf
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images.
ECCV (19)
Jinjin Gu, Haoming Cai, Chenyu Dong, Ruofan Zhang, Yulun Zhang, Wenming Yang, Chun Yuan
2022 J jnl
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images.
CoRR
Jinjin Gu, Haoming Cai, Chenyu Dong, Ruofan Zhang, Yulun Zhang, Wenming Yang, Chun Yuan
2022 A* conf
Texture-based Error Analysis for Image Super-Resolution.
CVPR
Salma Abdel Magid, Zudi Lin, Donglai Wei, Yulun Zhang, Jinjin Gu, Hanspeter Pfister
2021 J jnl
Attention in Attention Network for Image Super-Resolution.
CoRR
Haoyu Chen, Jinjin Gu, Zhi Zhang
2021 J jnl
Blind Image Super-Resolution: A Survey and Beyond.
CoRR
Anran Liu, Yihao Liu, Jinjin Gu, Yu Qiao, Chao Dong
2021 J jnl
Discovering "Semantics" in Super-Resolution Networks.
CoRR
Yihao Liu, Anran Liu, Jinjin Gu, Zhipeng Zhang, Wenhao Wu, Yu Qiao, Chao Dong
2021 A* conf
Interpreting Super-Resolution Networks With Local Attribution Maps.
CVPR
Jinjin Gu, Chao Dong
2021 — conf
NTIRE 2021 Challenge on Perceptual Image Quality Assessment.
CVPR Workshops
Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte
2021 J jnl
NTIRE 2021 Challenge on Perceptual Image Quality Assessment.
CoRR
Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Qing Zhang, Haiyang Guo, Yi Bin, Yuqing Hou, Hengliang Luo, Jingyu Guo, Zirui Wang, Hai Wang, Wenming Yang, Qingyan Bai, Shuwei Shi, Weihao Xia, Mingdeng Cao, Jiahao Wang, Yifan Chen, Yujiu Yang, Yang Li, Tao Zhang, Longtao Feng, Yiting Liao, Junlin Li, William Thong, José Costa Pereira, Ales Leonardis, Steven McDonagh, Kele Xu, Lehan Yang, Hengxing Cai, Pengfei Sun, Seyed Mehdi Ayyoubzadeh, Ali Royat, Sid Ahmed Fezza, Dounia Hammou, Wassim Hamidouche, Sewoong Ahn, Gwangjin Yoon, Koki Tsubota, Hiroaki Akutsu, Kiyoharu Aizawa
2021 J jnl
Reflash Dropout in Image Super-Resolution.
CoRR
Xiangtao Kong, Xina Liu, Jinjin Gu, Yu Qiao, Chao Dong
2020 — conf
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results.
ECCV Workshops (4)
Dario Fuoli, Zhiwu Huang, Shuhang Gu, Radu Timofte, Arnau Raventos, Aryan Esfandiari, Salah Karout, Xuan Xu, Xin Li, Xin Xiong, Jinge Wang, Pablo Navarrete Michelini, Wenhao Zhang, Dongyang Zhang, Hanwei Zhu, Dan Xia, Haoyu Chen, Jinjin Gu, Zhi Zhang, Tongtong Zhao, Shanshan Zhao, Kazutoshi Akita, Norimichi Ukita, Hrishikesh P. S, Densen Puthussery, C. V. Jiji
2020 J jnl
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results.
CoRR
Dario Fuoli, Zhiwu Huang, Shuhang Gu, Radu Timofte, Arnau Raventos, Aryan Esfandiari, Salah Karout, Xuan Xu, Xin Li, Xin Xiong, Jinge Wang, Pablo Navarrete Michelini, Wenhao Zhang, Dongyang Zhang, Hanwei Zhu, Dan Xia, Haoyu Chen, Jinjin Gu, Zhi Zhang, Tongtong Zhao, Shanshan Zhao, Kazutoshi Akita, Norimichi Ukita, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji
2020 A* conf
Image Processing Using Multi-Code GAN Prior.
CVPR
Jinjin Gu, Yujun Shen, Bolei Zhou
2020 J jnl
Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric.
CoRR
Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. J. Ren, Chao Dong
2020 J jnl
Interpreting Super-Resolution Networks with Local Attribution Maps.
CoRR
Jinjin Gu, Chao Dong
2020 A* conf
Interpreting the Latent Space of GANs for Semantic Face Editing.
CVPR
Yujun Shen, Jinjin Gu, Xiaoou Tang, Bolei Zhou
2020 — conf
PIPAL: A Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration.
ECCV (11)
Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. Ren, Chao Dong
2020 J jnl
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration.
CoRR
Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. J. Ren, Chao Dong
2020 J jnl
Super Resolution Perception for Smart Meter Data.
Inf. Sci.
Guolong Liu, Jinjin Gu, Junhua Zhao, Fushuan Wen, Gaoqi Liang
2019 A* conf
Blind Super-Resolution With Iterative Kernel Correction.
CVPR
Jinjin Gu, Hannan Lu, Wangmeng Zuo, Chao Dong
2019 J jnl
Blind Super-Resolution With Iterative Kernel Correction.
CoRR
Jinjin Gu, Hannan Lu, Wangmeng Zuo, Chao Dong
2019 J jnl
Image Processing Using Multi-Code GAN Prior.
CoRR
Jinjin Gu, Yujun Shen, Bolei Zhou
2019 J jnl
Interpreting the Latent Space of GANs for Semantic Face Editing.
CoRR
Yujun Shen, Jinjin Gu, Xiaoou Tang, Bolei Zhou
2019 — conf
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results.
CVPR Workshops
Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He
2019 — conf
Suppressing Model Overfitting for Image Super-Resolution Networks.
CVPR Workshops
Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong
2019 J jnl
Suppressing Model Overfitting for Image Super-Resolution Networks.
CoRR
Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong
2019 J jnl
Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution.
CoRR
Guocheng Qian, Jinjin Gu, Jimmy S. Ren, Chao Dong, Furong Zhao, Juan Lin
2019 J jnl
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model.
Comput. Graph. Forum
Haonan Qiu, Chuan Wang, Hang Zhu, Xiangyu Zhu, Jinjin Gu, Xiaoguang Han
2019 J jnl
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model.
CoRR
Haonan Qiu, Chuan Wang, Hang Zhu, Xiangyu Zhu, Jinjin Gu, Xiaoguang Han
2018 — conf
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks.
ECCV Workshops (5)
Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, Chen Change Loy
2018 J jnl
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks.
CoRR
Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Chen Change Loy, Yu Qiao, Xiaoou Tang
2018 J jnl
Single Image Reflection Removal Using Deep Encoder-Decoder Network.
CoRR
Zhixiang Chi, Xiaolin Wu, Xiao Shu, Jinjin Gu
2018 J jnl
Super-Resolution Perception for Industrial Sensor Data.
CoRR
Jinjin Gu, Guolong Liu, Gaoqi Liang, Junhua Zhao
2014 — conf
Automatic kidney segmentation in CT images based on multi-atlas image registration.
EMBC
Guanyu Yang, Jinjin Gu, Yang Chen, Wangyan Liu, Lijun Tang, Huazhong Shu, Christine Toumoulin