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Chao Dong 0005
Person information
- affiliation: Chinese Academy of Sciences, Shenzhen Institute of Advanced Technology, Key Lab of Computer Vision and Pattern Recognition, SIAT-SenseTime Joint Lab, Shenzhen, China
- affiliation (PhD 2016): Chinese University of Hong Kong, Department of Information Engineering, Hong Kong
Other persons with the same name
- Chao Dong — disambiguation page
- Chao Dong 0001
— Nanjing University of Aeronautics and Astronautics, Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, China (and 3 more)
- Chao Dong 0002
- Chao Dong 0003
- Chao Dong 0004 — China Youth Development Foundation, Innovation Technology Department, Beijing, China (and 1 more)
- Chao Dong 0006 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing, China
- Chao Dong 0007
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2020 – today
- 2024
- [j14]Yihao Liu
Temporally consistent video colorization with deep feature propagation and self-regularization learning. Comput. Vis. Media 10(2): 375-395 (2024) - [j13]Yingqi Liu
AdaptBIR: Adaptive Blind Image Restoration with latent diffusion prior for higher fidelity. Pattern Recognit. 155: 110659 (2024) - [c75]Ziyan Chen, Jingwen He, Xinqi Lin, Yu Qiao, Chao Dong:
Towards Real-world Video Face Restoration: A New Benchmark. CVPR Workshops 2024: 5929-5939 - [c74]Yuzhou Huang, Liangbin Xie, Xintao Wang, Ziyang Yuan, Xiaodong Cun, Yixiao Ge, Jiantao Zhou, Chao Dong, Rui Huang, Ruimao Zhang, Ying Shan:
SmartEdit: Exploring Complex Instruction-Based Image Editing with Multimodal Large Language Models. CVPR 2024: 8362-8371 - [c73]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. CVPR 2024: 25669-25680 - [c72]Wenlong Zhang, Xiaohui Li, Xiangyu Chen, Xiaoyun Zhang, Yu Qiao, Xiao-Ming Wu, Chao Dong:
SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution. ICLR 2024 - [c71]Yihao Liu, Xiangyu Chen, Xianzheng Ma, Xintao Wang, Jiantao Zhou, Yu Qiao, Chao Dong:
Unifying Image Processing as Visual Prompting Question Answering. ICML 2024 - [i88]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 abs/2401.13627 (2024) - [i87]Ziyan Chen, Jingwen He, Xinqi Lin, Yu Qiao, Chao Dong:
Towards Real-world Video Face Restoration: A New Benchmark. CoRR abs/2404.19500 (2024) - [i86]Boyang Zheng, Jinjin Gu, Shijun Li, Chao Dong:
LM4LV: A Frozen Large Language Model for Low-level Vision Tasks. CoRR abs/2405.15734 (2024) - [i85]Zhiyuan You
Descriptive Image Quality Assessment in the Wild. CoRR abs/2405.18842 (2024) - [i84]Shuo Cao, Yihao Liu, Wenlong Zhang, Yu Qiao, Chao Dong:
GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity. CoRR abs/2407.12273 (2024) - [i83]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 abs/2407.19789 (2024) - [i82]Xiangyu Chen, Yihao Liu, Yuandong Pu, Wenlong Zhang, Jiantao Zhou, Yu Qiao, Chao Dong:
Learning A Low-Level Vision Generalist via Visual Task Prompt. CoRR abs/2408.08601 (2024) - [i81]Xiangtao Kong, Jinjin Gu, Yihao Liu, Wenlong Zhang, Xiangyu Chen, Yu Qiao, Chao Dong:
A Preliminary Exploration Towards General Image Restoration. CoRR abs/2408.15143 (2024) - 2023
- [j12]Anran Liu
Blind Image Super-Resolution: A Survey and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5461-5480 (2023) - [j11]Yihao Liu
Evaluating the Generalization Ability of Super-Resolution Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14497-14513 (2023) - [j10]Shixiang Wu, Chao Dong
Blind Image Restoration Based on Cycle-Consistent Network. IEEE Trans. Multim. 25: 1111-1124 (2023) - [j9]Si Liu
Fine-Grained Face Editing via Personalized Spatial-Aware Affine Modulation. IEEE Trans. Multim. 25: 4213-4224 (2023) - [j8]Yihao Liu
Very Lightweight Photo Retouching Network With Conditional Sequential Modulation. IEEE Trans. Multim. 25: 4638-4652 (2023) - [c70]Liangbin Xie, Xintao Wang, Shuwei Shi, Jinjin Gu, Chao Dong, Ying Shan:
Mitigating Artifacts in Real-World Video Super-resolution Models. AAAI 2023: 2956-2964 - [c69]Haoyu Chen, Jinjin Gu, Yihao Liu
Masked Image Training for Generalizable Deep Image Denoising. CVPR 2023: 1692-1703 - [c68]Mingdeng Cao, Chong Mou, Fanghua Yu, Xintao Wang, Yinqiang Zheng, Jian Zhang, Chao Dong, Gen Li, Ying Shan, Radu Timofte
NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution: Datasets, Methods and Results. CVPR Workshops 2023: 1731-1745 - [c67]Fanghua Yu, Xintao Wang, Mingdeng Cao, Gen Li, Ying Shan, Chao Dong:
OSRT: Omnidirectional Image Super-Resolution with Distortion-aware Transformer. CVPR 2023: 13283-13292 - [c66]Xiangyu Chen, Xintao Wang, Jiantao Zhou, Yu Qiao, Chao Dong:
Activating More Pixels in Image Super-Resolution Transformer. CVPR 2023: 22367-22377 - [c65]Yihao Liu
DegAE: A New Pretraining Paradigm for Low-Level Vision. CVPR 2023: 23292-23303 - [c64]Yunpeng Bai, Chao Dong, Cairong Wang, Chun Yuan:
PS-NeRV: Patch-Wise Stylized Neural Representations for Videos. ICIP 2023: 41-45 - [c63]Liangbin Xie, Xintao Wang, Xiangyu Chen, Gen Li, Ying Shan, Jiantao Zhou, Chao Dong:
DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models. ICML 2023: 38204-38226 - [c62]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: 41078-41091 - [c61]Jinjin Gu, Xianzheng Ma, Xiangtao Kong, Yu Qiao, Chao Dong:
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining. NeurIPS 2023 - [c60]Wenlong Zhang, Xiaohui Li, Guangyuan Shi, Xiangyu Chen, Yu Qiao, Xiaoyun Zhang, Xiao-Ming Wu, Chao Dong:
Real-World Image Super-Resolution as Multi-Task Learning. NeurIPS 2023 - [i80]Yunpeng Bai, Zihan Zhong, Chao Dong, Weichen Zhang, Guowei Xu, Chun Yuan:
Towards Arbitrary Text-driven Image Manipulation via Space Alignment. CoRR abs/2301.10670 (2023) - [i79]Yunpeng Bai, Jiayue Liu, Chao Dong, Chun Yuan:
ITstyler: Image-optimized Text-based Style Transfer. CoRR abs/2301.10916 (2023) - [i78]Fanghua Yu, Xintao Wang, Mingdeng Cao, Gen Li, Ying Shan, Chao Dong:
OSRT: Omnidirectional Image Super-Resolution with Distortion-aware Transformer. CoRR abs/2302.03453 (2023) - [i77]Yunpeng Bai, Cairong Wang, Shuzhao Xie, Chao Dong, Chun Yuan, Zhi Wang:
TextIR: A Simple Framework for Text-based Editable Image Restoration. CoRR abs/2302.14736 (2023) - [i76]Haoyu Chen, Jinjin Gu, Yihao Liu
Masked Image Training for Generalizable Deep Image Denoising. CoRR abs/2303.13132 (2023) - [i75]Jinjin Gu, Xianzheng Ma, Xiangtao Kong, Yu Qiao, Chao Dong:
Networks are Slacking Off: Understanding Generalization Problem in Image Deraining. CoRR abs/2305.15134 (2023) - [i74]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 abs/2305.18107 (2023) - [i73]Liangbin Xie, Xintao Wang, Xiangyu Chen, Gen Li, Ying Shan, Jiantao Zhou, Chao Dong:
DeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models. CoRR abs/2307.02457 (2023) - [i72]Fanghua Yu, Xintao Wang, Zheyuan Li, Yan-Pei Cao, Ying Shan, Chao Dong:
GET3D-: Learning GET3D from Unconstrained Image Collections. CoRR abs/2307.14918 (2023) - [i71]Xinqi Lin, Jingwen He, Ziyan Chen
DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior. CoRR abs/2308.15070 (2023) - [i70]Wenlong Zhang, Xiaohui Li, Xiangyu Chen, Yu Qiao, Xiao-Ming Wu, Chao Dong:
SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution. CoRR abs/2309.03020 (2023) - [i69]Xiangyu Chen, Zheyuan Li, Zhengwen Zhang, Jimmy S. Ren, Yihao Liu, Jingwen He, Yu Qiao, Jiantao Zhou, Chao Dong:
Towards Efficient SDRTV-to-HDRTV by Learning from Image Formation. CoRR abs/2309.04084 (2023) - [i68]Xiangyu Chen, Xintao Wang, Wenlong Zhang, Xiangtao Kong, Yu Qiao, Jiantao Zhou, Chao Dong:
HAT: Hybrid Attention Transformer for Image Restoration. CoRR abs/2309.05239 (2023) - [i67]Yihao Liu, Xiangyu Chen, Xianzheng Ma, Xintao Wang, Jiantao Zhou, Yu Qiao, Chao Dong:
Unifying Image Processing as Visual Prompting Question Answering. CoRR abs/2310.10513 (2023) - [i66]Xiangyu Chen, Zheyuan Li, Yuandong Pu, Yihao Liu, Jiantao Zhou, Yu Qiao, Chao Dong:
A Comparative Study of Image Restoration Networks for General Backbone Network Design. CoRR abs/2310.11881 (2023) - [i65]Yuzhou Huang, Liangbin Xie, Xintao Wang, Ziyang Yuan, Xiaodong Cun, Yixiao Ge, Jiantao Zhou, Chao Dong, Rui Huang, Ruimao Zhang, Ying Shan:
SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models. CoRR abs/2312.06739 (2023) - [i64]Zhiyuan You
Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models. CoRR abs/2312.08962 (2023) - 2022
- [j7]Hongying Liu, Zhubo Ruan, Peng Zhao, Chao Dong, Fanhua Shang, Yuanyuan Liu, Linlin Yang, Radu Timofte
Video super-resolution based on deep learning: a comprehensive survey. Artif. Intell. Rev. 55(8): 5981-6035 (2022) - [j6]Ke Yu
Path-Restore: Learning Network Path Selection for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7078-7092 (2022) - [j5]Wenlong Zhang
RankSRGAN: Super Resolution Generative Adversarial Networks With Learning to Rank. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7149-7166 (2022) - [j4]Jingwen He
Interactive Multi-Dimension Modulation for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9363-9379 (2022) - [c59]Wenlong Zhang, Guangyuan Shi, Yihao Liu
A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds. CVPR Workshops 2022: 526-535 - [c58]Liangbin Xie, Xintao Wang, Honglun Zhang, Chao Dong, Ying Shan:
VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolution. CVPR Workshops 2022: 656-665 - [c57]Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu
Blueprint Separable Residual Network for Efficient Image Super-Resolution. CVPR Workshops 2022: 832-842 - [c56]Jinjin Gu
NTIRE 2022 Challenge on Perceptual Image Quality Assessment. CVPR Workshops 2022: 950-966 - [c55]Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CVPR Workshops 2022: 1008-1022 - [c54]Yawei Li
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2022: 1061-1101 - [c53]Ren Yang
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. CVPR Workshops 2022: 1220-1237 - [c52]Jingwen He, Wu Shi, Kai Chen, Lean Fu, Chao Dong:
GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors. CVPR 2022: 1879-1888 - [c51]Xiangtao Kong
Reflash Dropout in Image Super-Resolution. CVPR 2022: 5992-6002 - [c50]Ruicheng Feng, Chongyi Li, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, Yurui Zhu, Xi Wang, Xueyang Fu, Xiaowei Hu, Jinfan Hu, Xina Liu, Xiangyu Chen, Chao Dong, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Xuhao Jiang, Guangqi Shao, Xiaotao Wang, Lei Lei, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Tao Huang, Zhenxuan Fang, Mengluan Huang, Junwei Xu, Yong Zhang, Yuechi Yang, Qidi Shu, Zhiwen Yang, Shaocong Li, Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong, Hangyan Zhu, Ming Liu, Shaohui Liu, Wangmeng Zuo, Zhuang Jia, Binbin Song, Ziqi Song, Guiting Mao, Ben Hou, Zhimou Liu, Yi Ke, Dengpei Ouyang, Dekui Han, Jinghao Zhang, Qi Zhu, Naishan Zheng, Feng Zhao, Wu Jin, Marcos V. Conde, Sabari Nathan, Radu Timofte
MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results. ECCV Workshops (5) 2022: 60-77 - [c49]Xina Liu, Jinfan Hu, Xiangyu Chen, Chao Dong:
UDC-UNet: Under-Display Camera Image Restoration via U-shape Dynamic Network. ECCV Workshops (5) 2022: 113-129 - [c48]Yuchao Gu, Xintao Wang, Liangbin Xie, Chao Dong, Gen Li, Ying Shan, Ming-Ming Cheng
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder. ECCV (18) 2022: 126-143 - [c47]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: 256-272 - [c46]Yunpeng Bai, Chao Dong, Zenghao Chai
Semantic-Sparse Colorization Network for Deep Exemplar-Based Colorization. ECCV (6) 2022: 505-521 - [c45]Chong Mou, Yanze Wu, Xintao Wang, Chao Dong, Jian Zhang, Ying Shan:
Metric Learning Based Interactive Modulation for Real-World Super-Resolution. ECCV (17) 2022: 723-740 - [c44]Guocheng Qian
Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline. ICCP 2022: 1-12 - [c43]Xintao Wang, Chao Dong, Ying Shan:
RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization. ACM Multimedia 2022: 2556-2564 - [c42]Li Siyao, Yuhang Li, Bo Li, Chao Dong, Ziwei Liu, Chen Change Loy:
AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies. NeurIPS 2022 - [c41]Shuwei Shi, Jinjin Gu, Liangbin Xie, Xintao Wang, Yujiu Yang, Chao Dong:
Rethinking Alignment in Video Super-Resolution Transformers. NeurIPS 2022 - [i63]Jingwen He, Wu Shi, Kai Chen, Lean Fu, Chao Dong:
GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors. CoRR abs/2203.07319 (2022) - [i62]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
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. CoRR abs/2204.09314 (2022) - [i61]Liangbin Xie, Xintao Wang, Honglun Zhang, Chao Dong, Ying Shan:
VFHQ: A High-Quality Dataset and Benchmark for Video Face Super-Resolution. CoRR abs/2205.03409 (2022) - [i60]Xiangyu Chen, Xintao Wang, Jiantao Zhou, Chao Dong:
Activating More Pixels in Image Super-Resolution Transformer. CoRR abs/2205.04437 (2022) - [i59]Wenlong Zhang, Guangyuan Shi, Yihao Liu
A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds. CoRR abs/2205.04910 (2022) - [i58]Chong Mou, Yanze Wu, Xintao Wang, Chao Dong, Jian Zhang, Ying Shan:
Metric Learning based Interactive Modulation for Real-World Super-Resolution. CoRR abs/2205.05065 (2022) - [i57]Xintao Wang, Chao Dong, Ying Shan:
RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization. CoRR abs/2205.05671 (2022) - [i56]Yawei Li
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2205.05675 (2022) - [i55]Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Jinjin Gu, Yu Qiao, Chao Dong:
Blueprint Separable Residual Network for Efficient Image Super-Resolution. CoRR abs/2205.05996 (2022) - [i54]Yuchao Gu, Xintao Wang, Liangbin Xie, Chao Dong, Gen Li, Ying Shan, Ming-Ming Cheng:
VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder. CoRR abs/2205.06803 (2022) - [i53]Yihao Liu
Evaluating the Generalization Ability of Super-Resolution Networks. CoRR abs/2205.07019 (2022) - [i52]Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte
NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. CoRR abs/2205.12633 (2022) - [i51]Jinjin Gu
NTIRE 2022 Challenge on Perceptual Image Quality Assessment. CoRR abs/2206.11695 (2022) - [i50]Shuwei Shi, Jinjin Gu
Rethinking Alignment in Video Super-Resolution Transformers. CoRR abs/2207.08494 (2022) - [i49]Yunpeng Bai, Chao Dong, Cairong Wang:
PS-NeRV: Patch-wise Stylized Neural Representations for Videos. CoRR abs/2208.03742 (2022) - [i48]Xina Liu, Jinfan Hu, Xiangyu Chen, Chao Dong:
UDC-UNet: Under-Display Camera Image Restoration via U-Shape Dynamic Network. CoRR abs/2209.01809 (2022) - [i47]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 abs/2210.05960 (2022) - [i46]Li Siyao, Yuhang Li, Bo Li, Chao Dong, Ziwei Liu, Chen Change Loy:
AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies. CoRR abs/2211.05709 (2022) - [i45]Liangbin Xie, Xintao Wang, Shuwei Shi, Jinjin Gu, Chao Dong, Ying Shan:
Mitigating Artifacts in Real-World Video Super-Resolution Models. CoRR abs/2212.07339 (2022) - 2021
- [j3]A. Murat Tekalp
Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression. IEEE J. Sel. Top. Signal Process. 15(2): 157-161 (2021) - [c40]Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy:
Understanding Deformable Alignment in Video Super-Resolution. AAAI 2021: 973-981 - [c39]Haoming Cai, Jingwen He, Yu Qiao
Toward Interactive Modulation for Photo-Realistic Image Restoration. CVPR Workshops 2021: 294-303 - [c38]Xiangyu Chen, Yihao Liu
HDRUNet: Single Image HDR Reconstruction With Denoising and Dequantization. CVPR Workshops 2021: 354-363 - [c37]Jinjin Gu
NTIRE 2021 Challenge on Perceptual Image Quality Assessment. CVPR Workshops 2021: 677-690 - [c36]Kelvin C. K. Chan
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond. CVPR 2021: 4947-4956 - [c35]Jinjin Gu
Interpreting Super-Resolution Networks With Local Attribution Maps. CVPR 2021: 9199-9208 - [c34]Xiangtao Kong
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic. CVPR 2021: 12016-12025 - [c33]Xiangyu Chen, Zhengwen Zhang, Jimmy S. Ren, Lynhoo Tian, Yu Qiao, Chao Dong:
A New Journey from SDRTV to HDRTV. ICCV 2021: 4480-4489 - [c32]Xintao Wang, Liangbin Xie, Chao Dong, Ying Shan:
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data. ICCVW 2021: 1905-1914 - [c31]Wenqi Ma, Tao Chen, Zhengwen Zhang, Zhenyu Yang, Chao Dong, Jianping Qiao, Jianping Li:
Super-resolution for in situ Plankton Images. ICCVW 2021: 3676-3685 - [c30]Liangbin Xie, Xintao Wang, Chao Dong, Zhongang Qi, Ying Shan:
Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution. NeurIPS 2021: 51-61 - [i44]A. Murat Tekalp, Michele Covell, Radu Timofte, Chao Dong:
Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression. CoRR abs/2102.06531 (2021) - [i43]Xiangtao Kong, Hengyuan Zhao, Yu Qiao, Chao Dong:
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic. CoRR abs/2103.04039 (2021) - [i42]Yihao Liu, Jingwen He, Xiangyu Chen, Zhengwen Zhang, Hengyuan Zhao, Chao Dong, Yu Qiao:
Very Lightweight Photo Retouching Network with Conditional Sequential Modulation. CoRR abs/2104.06279 (2021) - [i41]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 abs/2105.03072 (2021) - [i40]Haoming Cai, Jingwen He, Yu Qiao, Chao Dong:
Toward Interactive Modulation for Photo-Realistic Image Restoration. CoRR abs/2105.03085 (2021) - [i39]Xiangyu Chen, Yihao Liu, Zhengwen Zhang, Yu Qiao, Chao Dong:
HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization. CoRR abs/2105.13084 (2021) - [i38]Anran Liu, Yihao Liu, Jinjin Gu, Yu Qiao, Chao Dong:
Blind Image Super-Resolution: A Survey and Beyond. CoRR abs/2107.03055 (2021) - [i37]Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao:
RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank. CoRR abs/2107.09427 (2021) - [i36]Xintao Wang, Liangbin Xie, Chao Dong, Ying Shan:
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data. CoRR abs/2107.10833 (2021) - [i35]Yihao Liu, Anran Liu, Jinjin Gu, Zhipeng Zhang, Wenhao Wu, Yu Qiao, Chao Dong:
Discovering "Semantics" in Super-Resolution Networks. CoRR abs/2108.00406 (2021) - [i34]Liangbin Xie, Xintao Wang, Chao Dong, Zhongang Qi, Ying Shan:
Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution. CoRR abs/2108.01070 (2021) - [i33]Xiangyu Chen, Zhengwen Zhang, Jimmy S. Ren, Lynhoo Tian, Yu Qiao, Chao Dong:
A New Journey from SDRTV to HDRTV. CoRR abs/2108.07978 (2021) - [i32]Yihao Liu, Hengyuan Zhao, Kelvin C. K. Chan, Xintao Wang, Chen Change Loy, Yu Qiao, Chao Dong:
Temporally Consistent Video Colorization with Deep Feature Propagation and Self-regularization Learning. CoRR abs/2110.04562 (2021) - [i31]Yunpeng Bai, Chao Dong, Zenghao Chai, Andong Wang, Zhengzhuo Xu, Chun Yuan:
Semantic-Sparse Colorization Network for Deep Exemplar-based Colorization. CoRR abs/2112.01335 (2021) - [i30]Xiangtao Kong, Xina Liu, Jinjin Gu, Yu Qiao, Chao Dong:
Reflash Dropout in Image Super-Resolution. CoRR abs/2112.12089 (2021) - 2020
- [j2]Yongbing Zhang
Multiple Cycle-in-Cycle Generative Adversarial Networks for Unsupervised Image Super-Resolution. IEEE Trans. Image Process. 29: 1101-1112 (2020) - [c29]Kai Zhang, Martin Danelljan, Yawei Li
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 5-40 - [c28]Sanghyun Son, Jaerin Lee, Seungjun Nah, Radu Timofte
AIM 2020 Challenge on Video Temporal Super-Resolution. ECCV Workshops (4) 2020: 23-40 - [c27]Yihao Liu
Enhanced Quadratic Video Interpolation. ECCV Workshops (4) 2020: 41-56 - [c26]Jingwen He, Chao Dong, Yu Qiao:
Interactive Multi-dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration. ECCV (20) 2020: 53-68 - [c25]Hengyuan Zhao, Xiangtao Kong
Efficient Image Super-Resolution Using Pixel Attention. ECCV Workshops (3) 2020: 56-72 - [c24]Jinjin Gu
PIPAL: A Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration. ECCV (11) 2020: 633-651 - [c23]Jingwen He, Yihao Liu
Conditional Sequential Modulation for Efficient Global Image Retouching. ECCV (13) 2020: 679-695 - [i29]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 abs/2007.12142 (2020) - [i28]Ruicheng Feng, Weipeng Guan, Yu Qiao, Chao Dong:
Exploring Multi-Scale Feature Propagation and Communication for Image Super Resolution. CoRR abs/2008.00239 (2020) - [i27]Yihao Liu, Liangbin Xie, Siyao Li, Wenxiu Sun, Yu Qiao, Chao Dong:
Enhanced Quadratic Video Interpolation. CoRR abs/2009.04642 (2020) - [i26]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020) - [i25]Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy:
Understanding Deformable Alignment in Video Super-Resolution. CoRR abs/2009.07265 (2020) - [i24]Jingwen He, Yihao Liu, Yu Qiao, Chao Dong:
Conditional Sequential Modulation for Efficient Global Image Retouching. CoRR abs/2009.10390 (2020) - [i23]Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong:
Efficient Image Super-Resolution Using Pixel Attention. CoRR abs/2010.01073 (2020) - [i22]Jinjin Gu, Chao Dong:
Interpreting Super-Resolution Networks with Local Attribution Maps. CoRR abs/2011.11036 (2020) - [i21]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 abs/2011.15002 (2020) - [i20]Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy:
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond. CoRR abs/2012.02181 (2020)
2010 – 2019
- 2019
- [c22]Jinjin Gu
Blind Super-Resolution With Iterative Kernel Correction. CVPR 2019: 1604-1613 - [c21]Xintao Wang, Ke Yu, Chao Dong, Xiaoou Tang, Chen Change Loy:
Deep Network Interpolation for Continuous Imagery Effect Transition. CVPR 2019: 1692-1701 - [c20]Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy:
EDVR: Video Restoration With Enhanced Deformable Convolutional Networks. CVPR Workshops 2019: 1954-1963 - [c19]Ruicheng Feng, Jinjin Gu
Suppressing Model Overfitting for Image Super-Resolution Networks. CVPR Workshops 2019: 1964-1973 - [c18]Seungjun Nah, Radu Timofte
NTIRE 2019 Challenge on Video Deblurring: Methods and Results. CVPR Workshops 2019: 1974-1984 - [c17]Seungjun Nah, Radu Timofte
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. CVPR Workshops 2019: 1985-1995 - [c16]Jianrui Cai, Shuhang Gu, Radu Timofte
NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results. CVPR Workshops 2019: 2211-2223 - [c15]Jingwen He, Chao Dong, Yu Qiao
Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers. CVPR 2019: 11056-11064 - [c14]Wenlong Zhang
RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution. ICCV 2019: 3096-3105 - [c13]Yunan Li
LAP-Net: Level-Aware Progressive Network for Image Dehazing. ICCV 2019: 3275-3284 - [i19]Jinjin Gu
Blind Super-Resolution With Iterative Kernel Correction. CoRR abs/1904.03377 (2019) - [i18]Jingwen He, Chao Dong, Yu Qiao:
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers. CoRR abs/1904.08118 (2019) - [i17]Ke Yu, Xintao Wang, Chao Dong, Xiaoou Tang, Chen Change Loy:
Path-Restore: Learning Network Path Selection for Image Restoration. CoRR abs/1904.10343 (2019) - [i16]Guocheng Qian
Trinity of Pixel Enhancement: a Joint Solution for Demosaicking, Denoising and Super-Resolution. CoRR abs/1905.02538 (2019) - [i15]Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy:
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks. CoRR abs/1905.02716 (2019) - [i14]Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong:
Suppressing Model Overfitting for Image Super-Resolution Networks. CoRR abs/1906.04809 (2019) - [i13]Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao:
RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. CoRR abs/1908.06382 (2019) - [i12]Jingwen He, Chao Dong, Yu Qiao:
Multi-Dimension Modulation for Image Restoration with Dynamic Controllable Residual Learning. CoRR abs/1912.05293 (2019) - 2018
- [c12]Shixiang Wu, Tianqi Fan, Chao Dong, Yu Qiao:
RDS-Denoiser: a Detail-preserving Convolutional Neural Network for Image Denoising. CBS 2018: 127-132 - [c11]Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy
Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform. CVPR 2018: 606-615 - [c10]Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin:
Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks. CVPR Workshops 2018: 701-710 - [c9]Ke Yu, Chao Dong, Liang Lin, Chen Change Loy:
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning. CVPR 2018: 2443-2452 - [c8]Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. ECCV Workshops (5) 2018: 63-79 - [c7]Andrey Ignatov, Radu Timofte
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. ECCV Workshops (5) 2018: 315-333 - [c6]Tingting Li, Ruihe Qian, Chao Dong, Si Liu, Qiong Yan, Wenwu Zhu, Liang Lin:
BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network. ACM Multimedia 2018: 645-653 - [i11]Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy:
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform. CoRR abs/1804.02815 (2018) - [i10]Ke Yu, Chao Dong, Liang Lin, Chen Change Loy:
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning. CoRR abs/1804.03312 (2018) - [i9]Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. CoRR abs/1809.00219 (2018) - [i8]Yuan Yuan, Siyuan Liu, Jiawei Zhang, Yongbing Zhang, Chao Dong, Liang Lin:
Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks. CoRR abs/1809.00437 (2018) - [i7]Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X. Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Hanwen Liu, Pablo Navarrete Michelini, Dan Zhu, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Thekke Madam Nimisha, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung:
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. CoRR abs/1810.01641 (2018) - [i6]Xintao Wang, Ke Yu, Chao Dong, Xiaoou Tang, Chen Change Loy:
Deep Network Interpolation for Continuous Imagery Effect Transition. CoRR abs/1811.10515 (2018) - 2017
- [c5]Radu Timofte
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - 2016
- [j1]Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang:
Image Super-Resolution Using Deep Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 38(2): 295-307 (2016) - [c4]Chao Dong, Chen Change Loy, Xiaoou Tang:
Accelerating the Super-Resolution Convolutional Neural Network. ECCV (2) 2016: 391-407 - [i5]Chao Dong, Chen Change Loy, Xiaoou Tang:
Accelerating the Super-Resolution Convolutional Neural Network. CoRR abs/1608.00367 (2016) - [i4]Ke Yu, Chao Dong, Chen Change Loy, Xiaoou Tang:
Deep Convolution Networks for Compression Artifacts Reduction. CoRR abs/1608.02778 (2016) - 2015
- [c3]Chao Dong, Yubin Deng, Chen Change Loy, Xiaoou Tang:
Compression Artifacts Reduction by a Deep Convolutional Network. ICCV 2015: 576-584 - [i3]Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang:
Image Super-Resolution Using Deep Convolutional Networks. CoRR abs/1501.00092 (2015) - [i2]Chao Dong, Yubin Deng, Chen Change Loy, Xiaoou Tang:
Compression Artifacts Reduction by a Deep Convolutional Network. CoRR abs/1504.06993 (2015) - [i1]Chao Dong, Ximei Zhu, Yubin Deng, Chen Change Loy, Yu Qiao:
Boosting Optical Character Recognition: A Super-Resolution Approach. CoRR abs/1506.02211 (2015) - 2014
- [c2]Chao Dong, Chen Change Loy, Kaiming He, Xiaoou Tang:
Learning a Deep Convolutional Network for Image Super-Resolution. ECCV (4) 2014: 184-199 - 2013
- [c1]Chao Dong, Shifeng Chen, Xiaoou Tang:
AdVisual: a visual-based advertising system. ACM Multimedia 2013: 433-434
Coauthor Index
[j14] [j13] [c75] [c73] [c72] [c71] [i88] [i87] [i84] [i82] [i81] [j12] [j11] [j10] [j8] [c66] [c65] [c61] [c60] [i75] [i71] [i70] [i69] [i68] [i67] [i66] [j5] [j4] [c57] [c54] [c51] [c47] [i56] [i55] [i53] [i47] [c39] [c38] [c37] [c34] [c33] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i35] [i33] [i32] [i30] [c29] [c28] [c27] [c26] [c25] [c23] [i28] [i27] [i26] [i24] [i23] [c19] [c16] [c15] [c14] [i18] [i14] [i13] [i12] [c12] [c8] [c7] [i9] [i7] [c5] [i1]
Jimmy S. J. Ren
aka: Jimmy S. Ren
aka: Jimmy S. Ren
[j14] [c74] [c73] [c71] [i88] [c70] [c68] [c67] [c66] [c63] [i78] [i73] [i72] [i68] [i67] [i65] [j6] [c58] [c55] [c53] [c48] [c45] [c43] [c41] [i62] [i61] [i60] [i58] [i57] [i54] [i52] [i50] [i45] [c40] [c36] [c32] [c30] [i36] [i34] [i32] [i25] [i20] [c21] [c20] [c18] [c17] [i17] [i15] [c11] [c8] [i11] [i9] [i6] [c5]
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