/Awesome-Extreme-SISR

Awsome-Extreme-Super-Resolution Awesome

A curated list of extreme single image super resolution.

Contents

Classical deep models of SISR

  1. Learning a Deep Convolutional Network for Image Super-Resolution. Dong et al. @{MSR, CUHK}. ECCV 2014.
  2. Accurate Image Super-Resolution Using Very Deep Convolutional Networks. Kim et al. @{SNU}. CVPR 2016. [project]
  3. Enhanced Deep Residual Networks for Single Image Super-Resolution. Lim et al. @{SNU}. CVPRW 2017. [code]
  4. Image Super-Resolution Using Very Deep Residual Channel Attention Networks. Zhang et al. @{NEU} ECCV 2018. [code]
  5. Residual Dense network for Image Super-Resolution. Zhang et al. @{NEU}. CVPR 2018. [code]
  6. Deep back-Projection Networks for Super-Resolution. Haris et al. @{toyota-ti} CVPR 2018. [code]
  7. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network. Ledig et al. @{Twitter}. CVPR 2017. [code]
  8. ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks. Wang et al. @{CUHK}. ECCVW 2018. [code]

Extreme SISR

  1. DIV8K: DIVerse 8K Resolution Image Dataset. Gu et al. @{ETH}. ICCVW 2019.
  2. AIM2019 Challenge on Image Extreme Super-Resolution: Methods and Results. Gu et al. ICCVW 2019.
  3. NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results. Zhang et al. CVPRW 2020.
  4. Perceptual Extreme Super Resolution Network with Receptive Filed Block. Shang et al. @{OPPO-Research}. CVPRW2020.
  5. DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution. Buhler et al. @{ETH}. ACCV Oral. [project] [code]
  6. Investigating Loss Functions for Extreme Super-Resolution. Jo et al. @{Yonsei, Facebook}. CVPRW 2020. [code]
  7. FBRNN: feedback recurrent neural network for extreme image super-resolution. Lee et al. @{Korea University, Army}. CVPRW 2020. [code]
  8. Texture hallucination for Large-Factor Painting Super-Resolution. Zhang et al. @{Northeastern University, Adobe}. ECCV 2020.

Classical deep models of SVSR

Extreme SVSR

  1. The Vid3oC and IntVID Datasets for Video Super Resolution and Quality Mapping. Kim et al. @{ETH}. ICCVW 2019.
  2. AIM 2019 Challenge on Video Extreme Super-Re solution: Methods and Results. Fuoli et al. ICCVW 2019.
  3. AIM 2020 Challenge on Video Extreme Super-Re solution: Methods and Results. Fuoli et al. @{ETH}. ECCVW 2020.