[转] CVPR 2020 & AAAI 2020超分辨率（super-resolution）方向上接收论文总结（持续更新）

CVPR 2020

官网链接：http://cvpr2020.thecvf.com/
时间：Seattle, Washington，2020年6月14日-6月19日

 

图像超分辨率

Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy
论文：https://arxiv.org/abs/2004.00448
代码：https://github.com/clovaai/cutblur

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution
论文：https://arxiv.org/abs/2003.07018
代码：https://github.com/guoyongcs/DRN
描述：Dual Regression, SISR STOA

Light Field Spatial Super-resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization（oral）
论文：https://arxiv.org/abs/2004.02215

Structure-Preserving Super Resolution with Gradient Guidance
论文：https://arxiv.org/pdf/2003.13081.pdf
代码：https://github.com/Maclory/SPSR
描述：Gradient Guidance, GAN

Deep unfolding network for image super-resolution
论文：https://arxiv.org/pdf/2003.10428.pdf
代码：https://github.com/cszn/USRNet

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
论文：https://arxiv.org/pdf/2003.03808.pdf

EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning
论文：https://arxiv.org/pdf/2003.07640.pdf

Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations
论文：https://arxiv.org/abs/2004.06965
描述：Unified Dynamic，SISR， denoise

视频超分辨率

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
论文：https://arxiv.org/abs/2002.11616
代码：https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020
Space-Time-Aware Multi-Resolution Video Enhancement
论文：http://arxiv.org/abs/2003.13170
代码：https://github.com/alterzero/STARnet
主页：https://alterzero.github.io/projects/STAR.html

小样本/零样本

Meta-Transfer Learning for Zero-Shot Super-Resolution
论文：https://arxiv.org/abs/2002.12213
代码：https://github.com/JWSoh/MZSR

AAAI 2020

第 34 届AAAI 2020 在 2 月 7 日-2 月 12 日于美国纽约举办。

 

图像超分辨率

Joint Super-Resolution and Alignment of Tiny Faces
论文：https://arxiv.org/pdf/1911.08566

Scale-wise Convolution for Image Restoration
论文：https://arxiv.org/pdf/1912.09028.pdf

Image Formation Model Guided Deep Image Super-Resolution
论文：https://arxiv.org/abs/1908.06444
代码：https://github.com/jspan/PHYSICS（404？）

视频超分辨率

Video Face Super-Resolution with Motion-Adaptive Feedback Cell
论文：https://arxiv.org/pdf/2002.06378https://blog.csdn.net/yyywxk/article/details/105440979
代码：https://github.com/JihyongOh/FISR

FISR: Deep Joint Frame Interpolation and Super-Resolution with A Multi-scale Temporal Loss
论文：https://arxiv.org/pdf/1912.07213

JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video
论文：https://arxiv.org/pdf/1909.04391

其他值得关注的论文

VESR-Net: The Winning Solution to Youku Video Enhancement and Super-Resolution Challenge
论文：https://arxiv.org/pdf/2003.02115.pdf
描述：The champion of Youku-VESR challenge

Deep Space-Time Video Upsampling Networks
论文：https://arxiv.org/pdf/2004.02432.pdf
代码：https://github.com/JaeYeonKang/STVUN-Pytorch
描述：Video Super-Resolution, Video Frame Interpolation, Joint space-time upsampling

DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution
论文：https://arxiv.org/pdf/2004.04433.pdf
代码：https://mcbuehler.github.io/DeepSEE/
描述：Extreme super-resolution,32× magnification

Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training
论文：https://arxiv.org/pdf/2004.01178.pdf
代码：https://github.com/ShuhangGu/DASR（Coming soon!）
描述：Real-World Image Super-Resolution, Unsupervised SuperResolution, Domain Adaptation.

Optimizing Generative Adversarial Networks for Image Super Resolution via Latent Space Regularization
论文：https://arxiv.org/pdf/2001.08126.pdf
描述：Latent Space Regularization for srgan

Hierarchical Neural Architecture Search for Single Image Super-Resolution
论文：https://arxiv.org/pdf/2003.04619.pdf
代码：https://github.com/guoyongcs/HNAS-SR
描述：Hierarchical Neural Architecture Search, Lightweight

Learning for Scale-Arbitrary Super-Resolution from Scale-Specific Networks
论文：https://arxiv.org/pdf/2004.03791.pdf
描述：Scale-Arbitrary Super-Resolution, Knowledge Transfer

Deep Adaptive Inference Networks for Single Image Super-Resolution
论文：https://arxiv.org/pdf/2004.03915.pdf
代码：https://github.com/csmliu/AdaDSR

Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
论文：https://arxiv.org/pdf/2003.07119.pdf
代码： https://github.com/sfm-sr-denoising/sfm

DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-Resolution
论文：https://arxiv.org/abs/2002.11079
代码：https://github.com/ykshi/DDet

Deep Interleaved Network for Image Super-Resolution With Asymmetric
Co-Attention (IJCAI-PRICAI 2020)
论文：https://arxiv.org/abs/2004.11814
描述：SISR，asymmetric co-attention

Pyramid Attention Networks for Image Restoration
论文：https://arxiv.org/pdf/2004.13824.pdf
代码：https://github.com/SHI-Labs/Pyramid-Attention-Networks

Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution
论文：https://arxiv.org/pdf/2005.00953.pdf
代码：https://github.com/RaoUmer/SRResCGAN

参考资料
https://github.com/amusi/CVPR2020-Code
https://github.com/extreme-assistant/CVPR2020-Paper-Code-Interpretation/blob/master/CVPR2020.md
https://github.com/ChaofWang/Awesome-Super-Resolution
https://paperswithcode.com/task/image-super-resolution/

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原文链接：https://blog.csdn.net/yyywxk/java/article/details/105440979