NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
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Yandong Guo | Jaihyun Park | Tong Yang | Radu Timofte | Zhi Jin | Kai Zhang | Jong Chul Ye | Yifu Chen | Jing Liu | Fu Li | Shilei Wen | Kwangjin Yoon | Jianlong Fu | Norimichi Ukita | Liang Lin | Seon Joo Kim | Tongtong Zhao | Shuhang Gu | Xiaojun Yang | Dongliang He | Chao Li | Taizhang Shang | Thomas S. Huang | Densen Puthussery | Kanghyu Lee | Jinjia Peng | Yuchen Fan | Wen Lu | Jianwei Li | Xinbo Gao | Jiahao Wu | Huan Yang | Zhipeng Luo | Gwantae Kim | Younghyun Jo | Yukai Shi | Jungki Min | Lin Zha | Jiande Jiang | S HrishikeshP | V JijiC | Mykola Mykhailych | Zhenyu Xu | Yukang Ding | Junyeop Lee | Kazutoshi Akita | J. C. Ye | Huibing Wang | Fuzhi Yang | Jeongki Min | Haoyu Zhong | Yuehan Yao | Qiuju Dai | Shengchen Zhu | Bokyeung Lee | Wenhao Wu | Byung-Hoon Kim | JaeHyun Baek | Zhijing Yang | Sejong Yang | Taegyun Jeon | Takeru Ooba | Chenming Shang | Huanrong Zhang | Thomas S. Huang | Liang Lin | R. Timofte | Yuchen Fan | K. Zhang | S. Kim | Jianlong Fu | Huibing Wang | Xinbo Gao | Wenhao Wu | Dongliang He | Fu Li | Shuhang Gu | Yandong Guo | Yukang Ding | Zhipeng Luo | N. Ukita | Junyeop Lee | Zhijing Yang | Wen Lu | Taegyun Jeon | Chao Li | Shilei Wen | Zhihao Jin | Yukai Shi | Huan Yang | Yuehan Yao | Zhenyu Xu | Kanghyu Lee | Gwantae Kim | Jinjia Peng | Bokyeung Lee | Kwangjin Yoon | Fuzhi Yang | Yifu Chen | Kazutoshi Akita | Xiaojun Yang | Jing Liu | Lin Zha | Jiande Jiang | Huanrong Zhang | S. HrishikeshP. | Qiuju Dai | Mykola Mykhailych | Byung-Hoon Kim | Jaihyun Park | Jungki Min | Tongtong Zhao | Densen Puthussery | V. JijiC. | Younghyun Jo | Sejong Yang | Taizhang Shang | Shengchen Zhu | Tong Yang | JaeHyun Baek | Haoyu Zhong | Jeongki Min | Takeru Ooba | Jianwei Li | Jiahao Wu | Chenming Shang | Seon Joo Kim
[1] Dapeng Tao,et al. Embedded Block Residual Network: A Recursive Restoration Model for Single-Image Super-Resolution , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[2] Yui-Lam Chan,et al. AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).
[3] Chao Dong,et al. Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[4] Luc Van Gool,et al. PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report , 2018, ECCV Workshops.
[5] Radu Timofte,et al. DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution , 2020, ArXiv.
[6] Alexei A. Efros,et al. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[7] Daniel Rueckert,et al. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Eirikur Agustsson,et al. NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[9] Gregory Shakhnarovich,et al. Deep Back-Projection Networks for Super-Resolution , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[10] Tong Yang,et al. Perceptual Extreme Super Resolution Network with Receptive Field Block , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[11] Radu Timofte,et al. NTIRE 2020 Challenge on Image Demoireing: Methods and Results , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[12] Jie Li,et al. AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).
[13] Xiaoou Tang,et al. Image Super-Resolution Using Deep Convolutional Networks , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Luc Van Gool,et al. Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Radu Timofte,et al. NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[16] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[17] Luc Van Gool,et al. A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution , 2014, ACCV.
[18] Yun Fu,et al. Residual Dense Network for Image Super-Resolution , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[19] Radu Timofte,et al. NTIRE 2018 Challenge on Spectral Reconstruction from RGB Images , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[20] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[21] Radu Timofte,et al. DIV8K: DIVerse 8K Resolution Image Dataset , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).
[22] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[23] Luc Van Gool,et al. NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[24] Xiaoling Zhang,et al. NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[25] Frank Hutter,et al. SGDR: Stochastic Gradient Descent with Restarts , 2016, ArXiv.
[26] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[27] Luc Van Gool,et al. Seven Ways to Improve Example-Based Single Image Super Resolution , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Hongdong Li,et al. Deep Stacked Hierarchical Multi-Patch Network for Image Deblurring , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Gwanggil Jeon,et al. Gated Multiple Feedback Network for Image Super-Resolution , 2019, BMVC.
[30] Frank Hutter,et al. SGDR: Stochastic Gradient Descent with Warm Restarts , 2016, ICLR.
[31] Radu Timofte,et al. 2018 PIRM Challenge on Perceptual Image Super-resolution , 2018, ArXiv.
[32] Luc Van Gool,et al. Deep Unfolding Network for Image Super-Resolution , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Ning Xu,et al. Wide Activation for Efficient and Accurate Image Super-Resolution , 2018, ArXiv.
[34] Xu Zhang,et al. Detecting and Simulating Artifacts in GAN Fake Images , 2019, 2019 IEEE International Workshop on Information Forensics and Security (WIFS).
[35] Radu Timofte,et al. NTIRE 2020 Challenge on Image and Video Deblurring , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[36] Kyoung Mu Lee,et al. Enhanced Deep Residual Networks for Single Image Super-Resolution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[37] Wei Wu,et al. Feedback Network for Image Super-Resolution , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Yu Qiao,et al. ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks , 2018, ECCV Workshops.
[39] Luc Van Gool,et al. NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[40] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[41] Radu Timofte,et al. AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).
[42] Hanseok Ko,et al. FBRNN: feedback recurrent neural network for extreme image super-resolution , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[43] Chen Hong,et al. NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[44] et al.,et al. NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[45] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[46] Hanseok Ko,et al. NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[47] Bernt Schiele,et al. A U-Net Based Discriminator for Generative Adversarial Networks , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[48] Alexia Jolicoeur-Martineau,et al. The relativistic discriminator: a key element missing from standard GAN , 2018, ICLR.
[49] Jeff Donahue,et al. Large Scale GAN Training for High Fidelity Natural Image Synthesis , 2018, ICLR.
[50] Yunhong Wang,et al. Receptive Field Block Net for Accurate and Fast Object Detection , 2017, ECCV.
[51] Lei Zhang,et al. Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Timo Aila,et al. A Style-Based Generator Architecture for Generative Adversarial Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[53] Chen Zhu,et al. Adaptive Densely Connected Single Image Super-Resolution , 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).
[54] Xinbo Gao,et al. Lightweight Image Super-Resolution with Information Multi-distillation Network , 2019, ACM Multimedia.
[55] Jongmin Park,et al. NTIRE 2020 Challenge on NonHomogeneous Dehazing , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[56] Chih-Yuan Yang,et al. Learning a No-Reference Quality Metric for Single-Image Super-Resolution , 2016, Comput. Vis. Image Underst..
[57] Seon Joo Kim,et al. Investigating Loss Functions for Extreme Super-Resolution , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[58] Yun Fu,et al. Image Super-Resolution Using Very Deep Residual Channel Attention Networks , 2018, ECCV.