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C2B

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C2B

Super Resolution

Reference Papers Read
Learning a Deep Convolutional Network for Image Super-Resolution (ECCV 2014) ❌
Single Image Super-resolution from Transformed Self-Exemplars (CVPR 2015) ✅
Accurate Image Super-Resolution Using Very Deep Convolutional Networks (CVPR 2016) ✅
Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016) ✅
Enhanced Deep Residual Networks for Single Image Super-Resolution (CVPR 2017 workshop) ✅
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017) ❌
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (CVPR 2017) ❌
Image Super-Resolution Using Dense Skip Connections (ICCV 2017) ❌
“Zero-Shot” Super-Resolution using Deep Internal Learning (CVPR 2018) ✅
Deep Back-Projection Networks For Super-Resolution (CVPR 2018) ❌
Frame-Recurrent Video Super-Resolution (CVPR 2018) ❌
Residual Dense Network for Image Super-Resolution (CVPR 2018) ❌
Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network (ECCV 2018) ❌
Image Super-Resolution Using Very Deep Residual Channel Attention Networks (ECCV 2018) ❌
InGAN: Capturing and Remapping the "DNA" of a Natural Image (ICCV 2019) ✅
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning ❌
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks(ECCV 2018 Workshop) ❌
Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks (ECCV 2018 Workshop) ❌
Feedback Network for Image Super-Resolution (CVPR 2019) ❌
Second-order Attention Network for Single Image Super-Resolution (CVPR 2019) ❌
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR 2019) ❌
Deep Unfolding Network for Image Super-Resolution ❌
Image Super-Resolution via Iterative Refinement ✅
A Deep Journey into Super-resolution: A survey ❌
Deep Learning for Image Super-resolution: A Survey ❌
Deep Learning for Single Image Super-Resolution: A Brief Review ❌

SLowMo

Reference Papers Read
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation ❌
Learning to Extract Flawless Slow Motion from Blurry Videos (CVPR 2019) ❌

Video Super-resolution

Reference Papers Read
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation (CVPR 2017) ❌
Detail-revealing Deep Video Super-resolution (ICCV 2017) ❌

Video Interpolation

Reference Papers Read
Learning to Extract Flawless Slow Motion from Blurry Videos (CVPR 2019) ❌

A great repo that contains a huge list of SR papers: https://github.com/ptkin/Awesome-Super-Resolution

Other Relevant Papers

Reference Papers Read
To learn image superresolution, use a gan to learn how to do image degradation first (ECCV 2018) ❌