CVPR 2020 & AAAI 2020超分辨率（super-resolution）方向上接收论文总结
目录
- CVPR 2020
- 图像超分辨率
- 视频超分辨率
- 小样本/零样本
- 人脸超分辨率
- 深度图超分辨率
- 光场图像超分辨率
- 高光谱图像超分辨率
- 超分辨率用于语义分割
- AAAI 2020
- 图像超分辨率
- 视频超分辨率
- 其他值得关注的论文
- 参考资料
CVPR 2020
官网链接：http://cvpr2020.thecvf.com/
时间：Seattle, Washington，2020年6月14日-6月19日
论文地址：http://openaccess.thecvf.com/CVPR2020.py
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
- 描述：用于超分辨率的数据增广
- 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
- 视频：https://www.youtube.com/watch?v=OShS_MwHecs
- 数据集：https://github.com/wl082013/ESIM_dataset
- Unified Dynamic Convolutional Network for Super-Resolution with Variational Degradations
- 论文：https://arxiv.org/abs/2004.06965
- 描述：Unified Dynamic，SISR， denoise
- Learning Texture Transformer Network for Image Super-Resolution
- 论文：https://arxiv.org/abs/2006.04139
- 代码：https://github.com/FuzhiYang/TTSR
- Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
- 论文：https://arxiv.org/abs/2006.01424
- 代码：https://github.com/SHI-Labs/Cross-Scale-Non-Local-Attention
- Unpaired Image Super-Resolution Using Pseudo-Supervision
- 论文：https://arxiv.org/abs/2002.11397
- Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers
- 论文：https://arxiv.org/abs/1912.00157
- Residual Feature Aggregation Network for Image Super-Resolution
- Robust Reference-Based Super-Resolution With Similarity-Aware Deformable Convolution
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
- TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution
- 论文：https://arxiv.org/abs/1812.02898v1
- 代码：https://github.com/YapengTian/TDAN-VSR-CVPR-2020
- Video Super-Resolution With Temporal Group Attention
- 代码：https://github.com/junpan19/VSR_TGA
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
人脸超分辨率
- Learning to Have an Ear for Face Super-Resolution
- 论文：https://arxiv.org/abs/1909.12780
- 代码：https://github.com/gmeishvili/ear_for_face_super_resolution
- 网站：https://gmeishvili.github.io/ear_for_face_super_resolution/index.html
- Deep Face Super-Resolution With Iterative Collaboration Between Attentive Recovery and Landmark Estimation
- 论文：https://arxiv.org/abs/2003.13063
- 代码：https://github.com/Maclory/Deep-Iterative-Collaboration
深度图超分辨率
- Channel Attention Based Iterative Residual Learning for Depth Map Super-Resolution
- 论文：https://arxiv.org/abs/2006.01469
光场图像超分辨率
- Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization
- 代码：https://github.com/jingjin25/LFSSR-ATO
高光谱图像超分辨率
- Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution
- 代码：https://github.com/JiangtaoNie/UAL
超分辨率用于语义分割
- Dual Super-Resolution Learning for Semantic Segmentation
- 代码：https://github.com/wanglixilinx/DSRL
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（名字看起来和超分辨率无关但是内容相关）
- 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/2002.06378
- 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/
- CVPR 2020 论文大盘点-超分辨率篇