CVPR2020超分辨率整理

cvpr2020

1. Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
   論文地址：https://arxiv.org/abs/2002.11616
2. Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
   論文地址：https://arxiv.org/abs/2003.07018
   論文代碼：https://github.com/guoyongcs/DRN
3. Structure-Preserving Super Resolution with Gradient Guidance
   論文地址：https://arxiv.org/pdf/2003.13081.pdf
   code:https://github.com/Maclory/SPSR
4. Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization
   論文地址：https://arxiv.org/abs/2004.02215
5. Deep unfolding network for image super-resolution
   paper: https://arxiv.org/pdf/2003.10428.pdf
   code: https://github.com/cszn/USRNet
6. PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
   paper: https://arxiv.org/pdf/2003.03808.pdf
7. EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning
   paper: https://arxiv.org/pdf/2003.07640.pdf
8. Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
   paper: https://arxiv.org/abs/2002.11616
   code: https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020
9. Meta-Transfer Learning for Zero-Shot Super-Resolution
   paper:https://arxiv.org/abs/2002.12213
10. Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy
    paper: https://arxiv.org/abs/2004.00448
    code: https://github.com/clovaai/cutblur