Jinjin Gu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 83

Top Topics

Scientific Publications

Image Restoration

Super Resolution

Top Venues

Publications

Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang
Recursive Generalization Transformer for Image Super-Resolution. ICLR (2024)
Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Sixiang Chen, Tian Ye, Renjing Pei, Kaiwen Zhou, Fenglong Song, Lei Zhu
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models. CoRR (2024)
Zhiyuan You, Jinjin Gu, Zheyuan Li, Xin Cai, Kaiwen Zhu, Tianfan Xue, Chao Dong
Descriptive Image Quality Assessment in the Wild. CoRR (2024)
Jinfan Hu, Jinjin Gu, Shiyao Yu, Fanghua Yu, Zheyuan Li, Zhiyuan You, Chaochao Lu, Chao Dong
Interpreting Low-level Vision Models with Causal Effect Maps. CoRR (2024)
Boyang Zheng, Jinjin Gu, Shijun Li, Chao Dong
LM4LV: A Frozen Large Language Model for Low-level Vision Tasks. CoRR (2024)
Haoyu Chen, Wenbo Li, Jinjin Gu, Jingjing Ren, Haoze Sun, Xueyi Zou, Zhensong Zhang, Youliang Yan, Lei Zhu
Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning. CoRR (2024)
Fanghua Yu, Jinjin Gu, Zheyuan Li, Jinfan Hu, Xiangtao Kong, Xintao Wang, Jingwen He, Yu Qiao, Chao Dong
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild. CoRR (2024)
Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang
Xformer: Hybrid X-Shaped Transformer for Image Denoising. ICLR (2024)
Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, Xin Yuan
Hierarchical Integration Diffusion Model for Realistic Image Deblurring. NeurIPS (2023)
Yihao Liu, Jingwen He, Jinjin Gu, Xiangtao Kong, Yu Qiao, Chao Dong
DegAE: A New Pretraining Paradigm for Low-Level Vision. CVPR (2023)
Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu
Dual Aggregation Transformer for Image Super-Resolution. CoRR (2023)
Zhiyuan You, Zheyuan Li, Jinjin Gu, Zhenfei Yin, Tianfan Xue, Chao Dong
Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models. CoRR (2023)
Yihao Liu, Hengyuan Zhao, Jinjin Gu, Yu Qiao, Chao Dong
Evaluating the Generalization Ability of Super-Resolution Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Jinjin Gu, Xianzheng Ma, Xiangtao Kong, Yu Qiao, Chao Dong
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining. CoRR (2023)
Zheng Chen, Yulun Zhang, Ding Liu, Bin Xia, Jinjin Gu, Linghe Kong, Xin Yuan
Hierarchical Integration Diffusion Model for Realistic Image Deblurring. CoRR (2023)
Zheng Chen, Yulun Zhang, Jinjin Gu, Xin Yuan, Linghe Kong, Guihai Chen, Xiaokang Yang
Image Super-Resolution with Text Prompt Diffusion. CoRR (2023)
Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang
Xformer: Hybrid X-Shaped Transformer for Image Denoising. CoRR (2023)
Jinjin Gu, Xianzheng Ma, Xiangtao Kong, Yu Qiao, Chao Dong
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining. NeurIPS (2023)
Liangbin Xie, Xintao Wang, Shuwei Shi, Jinjin Gu, Chao Dong, Ying Shan
Mitigating Artifacts in Real-World Video Super-resolution Models. AAAI (2023)
Haoyu Chen, Jinjin Gu, Yihao Liu, Salma Abdel Magid, Chao Dong, Qiong Wang, Hanspeter Pfister, Lei Zhu
Masked Image Training for Generalizable Deep Image Denoising. CoRR (2023)
Anran Liu, Yihao Liu, Jinjin Gu, Yu Qiao, Chao Dong
Blind Image Super-Resolution: A Survey and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Zhiteng Li, Yulun Zhang, Jing Lin, Haotong Qin, Jinjin Gu, Xin Yuan, Linghe Kong, Xiaokang Yang
Binarized 3D Whole-body Human Mesh Recovery. CoRR (2023)
Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu
Dual Aggregation Transformer for Image Super-Resolution. ICCV (2023)
Ruofan Zhang, Jinjin Gu, Haoyu Chen, Chao Dong, Yulun Zhang, Wenming Yang
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution. CoRR (2023)
Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang
Recursive Generalization Transformer for Image Super-Resolution. CoRR (2023)
Ruofan Zhang, Jinjin Gu, Haoyu Chen, Chao Dong, Yulun Zhang, Wenming Yang
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution. ICML (2023)
Haoyu Chen, Jinjin Gu, Yihao Liu, Salma Abdel Magid, Chao Dong, Qiong Wang, Hanspeter Pfister, Lei Zhu
Masked Image Training for Generalizable Deep Image Denoising. CVPR (2023)
Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan
Accurate Image Restoration with Attention Retractable Transformer. ICLR (2023)
Haoyu Chen, Jingjing Ren, Jinjin Gu, Hongtao Wu, Xuequan Lu, Haoming Cai, Lei Zhu
Snow Removal in Video: A New Dataset and A Novel Method. ICCV (2023)
Jinjin Gu, Jinan Zhou, Ringo Sai Wo Chu, Yan Chen, Jiawei Zhang, Xuanye Cheng, Song Zhang, Jimmy S. Ren
Self-Supervised Intensity-Event Stereo Matching. Imaging Sensors and Systems (2023)
Jinjin Gu, Haoming Cai, Chenyu Dong, Ruofan Zhang, Yulun Zhang, Wenming Yang, Chun Yuan
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. ECCV (19) (2022)
Shuwei Shi, Jinjin Gu, Liangbin Xie, Xintao Wang, Yujiu Yang, Chao Dong
Rethinking Alignment in Video Super-Resolution Transformers. CoRR (2022)
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
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. CoRR (2022)
Zheng Chen, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan
Cross Aggregation Transformer for Image Restoration. NeurIPS (2022)
Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong
Blueprint Separable Residual Network for Efficient Image Super-Resolution. CoRR (2022)
Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Radu Timofte
NTIRE 2022 Challenge on Perceptual Image Quality Assessment. CoRR (2022)
Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan
Accurate Image Restoration with Attention Retractable Transformer. CoRR (2022)
Xiangtao Kong, Xina Liu, Jinjin Gu, Yu Qiao, Chao Dong
Reflash Dropout in Image Super-Resolution. CVPR (2022)
Yihao Liu, Hengyuan Zhao, Jinjin Gu, Yu Qiao, Chao Dong
Evaluating the Generalization Ability of Super-Resolution Networks. CoRR (2022)
Salma Abdel Magid, Zudi Lin, Donglai Wei, Yulun Zhang, Jinjin Gu, Hanspeter Pfister
Texture-based Error Analysis for Image Super-Resolution. CVPR (2022)
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, Vyal Dmitry, 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
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. CVPR Workshops (2022)
Jinjin Gu, Haoming Cai, Chenyu Dong, Ruofan Zhang, Yulun Zhang, Wenming Yang, Chun Yuan
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. CoRR (2022)
Jinjin Gu, Xinlei Wang, Chenang Li, Junhua Zhao, Weijin Fu, Gaoqi Liang, Jing Qiu
AI-enabled image fraud in scientific publications. Patterns 3 (7) (2022)
Lin Zhou, Haoming Cai, Jinjin Gu, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Yu Qiao, Chao Dong
Efficient Image Super-Resolution Using Vast-Receptive-Field Attention. ECCV Workshops (2) (2022)
Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong
Blueprint Separable Residual Network for Efficient Image Super-Resolution. CVPR Workshops (2022)
Chen Zheng, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan
Cross Aggregation Transformer for Image Restoration. CoRR (2022)
Jinjin Gu, Jinan Zhou, Ringo Sai Wo Chu, Yan Chen, Jiawei Zhang, Xuanye Cheng, Song Zhang, Jimmy S. Ren
Self-Supervised Intensity-Event Stereo Matching. CoRR (2022)
Zhengwen Zhang, Jinjin Gu, Junhua Zhao, Jianwei Huang, Haifeng Wu
Emissions Based on Carbon Satellite and Artificial Intelligence. CoRR (2022)
Liangbin Xie, Xintao Wang, Shuwei Shi, Jinjin Gu, Chao Dong, Ying Shan
Mitigating Artifacts in Real-World Video Super-Resolution Models. CoRR (2022)
Shuwei Shi, Jinjin Gu, Liangbin Xie, Xintao Wang, Yujiu Yang, Chao Dong
Rethinking Alignment in Video Super-Resolution Transformers. NeurIPS (2022)
Guocheng Qian, Yuanhao Wang, Jinjin Gu, Chao Dong, Wolfgang Heidrich, Bernard Ghanem, Jimmy S. Ren
Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline. ICCP (2022)
Lin Zhou, Haoming Cai, Jinjin Gu, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Yu Qiao, Chao Dong
Efficient Image Super-Resolution using Vast-Receptive-Field Attention. CoRR (2022)
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
NTIRE 2022 Challenge on Perceptual Image Quality Assessment. CVPR Workshops (2022)
Anran Liu, Yihao Liu, Jinjin Gu, Yu Qiao, Chao Dong
Blind Image Super-Resolution: A Survey and Beyond. CoRR (2021)
Xiangtao Kong, Xina Liu, Jinjin Gu, Yu Qiao, Chao Dong
Reflash Dropout in Image Super-Resolution. CoRR (2021)
Haoyu Chen, Jinjin Gu, Zhi Zhang
Attention in Attention Network for Image Super-Resolution. CoRR (2021)
Yihao Liu, Anran Liu, Jinjin Gu, Zhipeng Zhang, Wenhao Wu, Yu Qiao, Chao Dong
Discovering "Semantics" in Super-Resolution Networks. CoRR (2021)
Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Yu Qiao, Shuhang Gu, Radu Timofte
NTIRE 2021 Challenge on Perceptual Image Quality Assessment. CVPR Workshops (2021)
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
NTIRE 2021 Challenge on Perceptual Image Quality Assessment. CoRR (2021)
Jinjin Gu, Chao Dong
Interpreting Super-Resolution Networks With Local Attribution Maps. CVPR (2021)
Jinjin Gu, Yujun Shen, Bolei Zhou
Image Processing Using Multi-Code GAN Prior. CVPR (2020)
Guolong Liu, Jinjin Gu, Junhua Zhao, Fushuan Wen, Gaoqi Liang
Super Resolution Perception for Smart Meter Data. Inf. Sci. 526 (2020)
Jinjin Gu, Chao Dong
Interpreting Super-Resolution Networks with Local Attribution Maps. CoRR (2020)
Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. J. Ren, Chao Dong
Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric. CoRR (2020)
Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. Ren, Chao Dong
PIPAL: A Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration. ECCV (11) (2020)
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
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results. CoRR (2020)
Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. J. Ren, Chao Dong
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration. CoRR (2020)
Yujun Shen, Jinjin Gu, Xiaoou Tang, Bolei Zhou
Interpreting the Latent Space of GANs for Semantic Face Editing. CVPR (2020)
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
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results. ECCV Workshops (4) (2020)
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
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. CVPR Workshops (2019)
Haonan Qiu, Chuan Wang, Hang Zhu, Xiao Zhu, Jinjin Gu, Xiaoguang Han
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model. Comput. Graph. Forum 38 (7) (2019)
Jinjin Gu, Hannan Lu, Wangmeng Zuo, Chao Dong
Blind Super-Resolution With Iterative Kernel Correction. CVPR (2019)
Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong
Suppressing Model Overfitting for Image Super-Resolution Networks. CVPR Workshops (2019)
Jinjin Gu, Hannan Lu, Wangmeng Zuo, Chao Dong
Blind Super-Resolution With Iterative Kernel Correction. CoRR (2019)
Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong
Suppressing Model Overfitting for Image Super-Resolution Networks. CoRR (2019)
Jinjin Gu, Yujun Shen, Bolei Zhou
Image Processing Using Multi-Code GAN Prior. CoRR (2019)
Guocheng Qian, Jinjin Gu, Jimmy S. Ren, Chao Dong, Furong Zhao, Juan Lin
Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution. CoRR (2019)
Haonan Qiu, Chuan Wang, Hang Zhu, Xiangyu Zhu, Jinjin Gu, Xiaoguang Han
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model. CoRR (2019)
Yujun Shen, Jinjin Gu, Xiaoou Tang, Bolei Zhou
Interpreting the Latent Space of GANs for Semantic Face Editing. CoRR (2019)
Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, Chen Change Loy
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. ECCV Workshops (5) (2018)
Zhixiang Chi, Xiaolin Wu, Xiao Shu, Jinjin Gu
Single Image Reflection Removal Using Deep Encoder-Decoder Network. CoRR (2018)
Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Chen Change Loy, Yu Qiao, Xiaoou Tang
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. CoRR (2018)
Jinjin Gu, Guolong Liu, Gaoqi Liang, Junhua Zhao
Super-Resolution Perception for Industrial Sensor Data. CoRR (2018)
Guanyu Yang, Jinjin Gu, Yang Chen, Wangyan Liu, Lijun Tang, Huazhong Shu, Christine Toumoulin
Automatic kidney segmentation in CT images based on multi-atlas image registration. EMBC (2014)