Jinjin Gu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
8
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | 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 |
| 2025 | CVPR | Teaching Large Language Models to Regress Accurate Image Quality Scores Using Score Distribution. | Zhiyuan You, Xin Cai, Jinjin Gu, Tianfan Xue, Chao Dong |
| 2025 | ICLR | Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model. | Keda Tao, Jinjin Gu, Yulun Zhang, Xiucheng Wang, Nan Cheng |
| 2025 | ICLR | UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion Models. | Fanghua Yu, Jinjin Gu, Jinfan Hu, Zheyuan Li, Chao Dong |
| 2025 | ICLR | An Intelligent Agentic System for Complex Image Restoration Problems. | Kaiwen Zhu, Jinjin Gu, Zhiyuan You, Yu Qiao, Chao Dong |
| 2024 | 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, Zhensong Zhang, Youliang Yan, Lei Zhu |
| 2024 | 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 |
| 2024 | 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 |
| 2024 | ICLR | Recursive Generalization Transformer for Image Super-Resolution. | Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang |
| 2024 | ICLR | Xformer: Hybrid X-Shaped Transformer for Image Denoising. | Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang |
| 2023 | AAAI | Mitigating Artifacts in Real-World Video Super-resolution Models. | Liangbin Xie, Xintao Wang, Shuwei Shi, Jinjin Gu, Chao Dong, Ying Shan |
| 2023 | CVPR | DegAE: A New Pretraining Paradigm for Low-Level Vision. | Yihao Liu, Jingwen He, Jinjin Gu, Xiangtao Kong, Yu Qiao, Chao Dong |
| 2023 | 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 |
| 2023 | ICCV | Dual Aggregation Transformer for Image Super-Resolution. | Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu |
| 2023 | 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 |
| 2023 | ICLR | Accurate Image Restoration with Attention Retractable Transformer. | Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan |
| 2023 | 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 |
| 2022 | CVPR | NTIRE 2022 Challenge on Perceptual Image Quality Assessment. | 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 | CVPR | Reflash Dropout in Image Super-Resolution. | Xiangtao Kong, Xina Liu, Jinjin Gu, Yu Qiao, Chao Dong |
| 2022 | CVPR | Blueprint Separable Residual Network for Efficient Image Super-Resolution. | Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong |
| 2022 | CVPR | Texture-based Error Analysis for Image Super-Resolution. | Salma Abdel Magid, Zudi Lin, Donglai Wei, Yulun Zhang, Jinjin Gu, Hanspeter Pfister |
| 2022 | CVPR | NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. | 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 | 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 |
| 2022 | ECCV | Efficient Image Super-Resolution Using Vast-Receptive-Field Attention. | Lin Zhou, Haoming Cai, Jinjin Gu, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Yu Qiao, Chao Dong |
| 2022 | ICCP | Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline. | Guocheng Qian, Yuanhao Wang, Jinjin Gu, Chao Dong, Wolfgang Heidrich, Bernard Ghanem, Jimmy S. Ren |
| 2021 | CVPR | NTIRE 2021 Challenge on Perceptual Image Quality Assessment. | Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte |
| 2021 | CVPR | Interpreting Super-Resolution Networks With Local Attribution Maps. | Jinjin Gu, Chao Dong |
| 2020 | CVPR | Image Processing Using Multi-Code GAN Prior. | Jinjin Gu, Yujun Shen, Bolei Zhou |
| 2020 | CVPR | Interpreting the Latent Space of GANs for Semantic Face Editing. | Yujun Shen, Jinjin Gu, Xiaoou Tang, Bolei Zhou |
| 2020 | ECCV | AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results. | 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 | ECCV | PIPAL: A Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration. | Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. Ren, Chao Dong |
| 2019 | CVPR | NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. | 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 | CVPR | Suppressing Model Overfitting for Image Super-Resolution Networks. | Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong |
| 2019 | CVPR | Blind Super-Resolution With Iterative Kernel Correction. | Jinjin Gu, Hannan Lu, Wangmeng Zuo, Chao Dong |
| 2018 | ECCV | ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. | Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, Chen Change Loy |