ECCV2020｜图像重建(超分辨率，图像恢复，去雨，去雾等)相关论文汇总（附论文链接/代码/解析）
转载自https://zhuanlan.zhihu.com/p/180551773
原帖地址：
ECCV2020｜图像重建/底层视觉(超分辨率，图像恢复，去雨，去雾，去模糊，去噪等)相关论文汇总（附论文链接/开源代码/解析）【持续更新】_Kobaayyy的博客-CSDN博客_eccv2020去雨
blog.csdn.net
整理了下今年ECCV图像重建/底层视觉(Low-Level Vision)相关的一些论文，包括超分辨率，图像恢复，去雨，去雾，去模糊，去噪等方向。大家如果觉得有帮助，欢迎点赞和收藏~~
最新修改版本会首先更新在Github，欢迎star~
https://github.com/Kobaayyy/Awesome-ECCV2020-Low-Level-Visiongithub.com
2020年ECCV（European Conference on Computer Vision）将于8月2日到8月28日在线上召开。目前ECCV2020已经放榜，有效投稿数为5025，最终收录1361篇论文，录取率是27%。其中104篇 Oral、161篇 Spotlights，其余的均为Poster。
ECCV2020的官网：https://eccv2020.eu/
ECCV2020接收论文列表：https://eccv2020.eu/accepted-papers/
【Contents】
- 1.超分辨率（Super-Resolution)
- 2.图像去雨（Image Deraining）
- 3.图像去雾（Image Dehazing）
- 4.去模糊（Deblurring）
- 5.去噪（Denoising）
- 6.图像恢复（Image Restoration）
- 7.图像增强（Image Enhancement）
- 8.图像去摩尔纹（Image Demoireing）
- 9.图像修复（Inpainting）
- 10.图像质量评价（Image Quality Assessment）
1.超分辨率（Super-Resolution）
图像超分辨率
Invertible Image Rescaling
- Paper：https://arxiv.org/abs/2005.05650
- Code：https://github.com/pkuxmq/Invertible-Image-Rescaling
- Analysis：ECCV 2020 Oral | 可逆图像缩放：完美恢复降采样后的高清图片
Component Divide-and-Conquer for Real-World Image Super-Resolution
- Paper：https://arxiv.org/abs/2008.01928
- Code：https://github.com/xiezw5/Component-Divide-and-Conquer-for-Real-World-Image-Super-Resolution
SRFlow: Learning the Super-Resolution Space with Normalizing Flow
- Paper：https://arxiv.org/abs/2006.14200?context=eess
- Code：https://github.com/andreas128/SRFlow
Single Image Super-Resolution via a Holistic Attention Network
- Paper：https://arxiv.org/abs/2008.08767
- Code：https://github.com/wwlCape/HAN
- Analysis：ECCV2020最新图像超分辨重建文章
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
- Paper：https://arxiv.org/abs/2003.07119
- Code：https://github.com/majedelhelou/SFM
VarSR: Variational Super-Resolution Network for Very Low Resolution Images
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123680426.pdf
Learning with Privileged Information for Efficient Image Super-Resolutionq
- Paper：https://arxiv.org/abs/2007.07524
- Code：https://github.com/cvlab-yonsei/PISR
- Homepage：https://cvlab.yonsei.ac.kr/projects/PISR/
Binarized Neural Network for Single Image Super Resolution
- Paper：http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123490086.pdf
Towards Content-independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation
- Paper:http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700052.pdf
视频超分辨率
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning
- Paper：https://arxiv.org/abs/2003.08872
- Code:https://github.com/eyalnaor/DeepTemporalSR
- Homepage：http://www.wisdom.weizmann.ac.il/~vision/DeepTemporalSR/
MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution
- Paper：https://arxiv.org/abs/2007.11803v1
Video Super-Resolution with Recurrent Structure-Detail Network
- Paper：https://arxiv.org/abs/2008.00455
- Code：https://github.com/junpan19/RSDN
- Homepage：http://www.wisdom.weizmann.ac.il/~vision/DeepTemporalSR/
人脸超分辨率
Face Super-Resolution Guided by 3D Facial Priors
- Paper：https://arxiv.org/abs/2007.09454v1
光场图像超分辨率
Spatial-Angular Interaction for Light Field Image Super-Resolution
- Paper：https://arxiv.org/abs/1912.07849
- Code：https://github.com/YingqianWang/LF-InterNet
- Presentation：https://wyqdatabase.s3-us-west-1.amazonaws.com/LF-InterNet.mp4
- Analysis：ECCV 2020 | 空间-角度信息交互的光场图像超分辨，性能优异代码已开源
高光谱图像超分辨率
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution
- Paper：https://arxiv.org/abs/2007.05230
- Code：https://github.com/danfenghong/ECCV2020_CUCaNet
零样本超分辨率
Zero-Shot Image Super-Resolution with Depth Guided Internal Degradation Learning
- Paper:http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123620256.pdf
Fast Adaptation to Super-Resolution Networks via Meta-Learning
- Paper:https://arxiv.org/abs/2001.02905v1
- Code:https://github.com/parkseobin/MLSR
文本超分辨率
PlugNet: Degradation Aware Scene Text Recognition Supervised by a Pluggable Super-Resolution Unit
- Paper:http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123600154.pdf
- Analysis：ECCV 2020 | 图匠数据、华中师范提出低质退化文本识别算法PlugNet
Scene Text Image Super-Resolution in the Wild
- Paper：https://arxiv.org/abs/2005.03341v1
- Code：https://github.com/JasonBoy1/TextZoom
绘画超分辨率
Texture Hallucination for Large-Factor Painting Super-Resolution
- Paper：https://arxiv.org/abs/1912.00515?context=eess.IV
超分辨率模型压缩/轻量化
Journey Towards Tiny Perceptual Super-Resolution
- Paper:https://arxiv.org/abs/2007.04356
LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block
- Paper:http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123670273.pdf
PAMS: Quantized Super-Resolution via Parameterized Max Scale
- Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700562.pdf
标记超分
Mining self-similarity: Label super-resolution with epitomic representations
- Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123710528.pdf
- Code:https://github.com/anthonymlortiz/epitomes_lsr
2.图像去雨（Image Deraining）
Rethinking Image Deraining via Rain Streaks and Vapors
- Paper：https://arxiv.org/abs/2008.00823
- Code：https://github.com/yluestc/derain
Beyond Monocular Deraining: Paired Rain Removal Networks via Unpaired Semantic Understanding
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123720069.pdf
3.图像去雾（Image Dehazing）
HardGAN: A Haze-Aware Representation Distillation GAN for Single Image Dehazing
- Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123510715.pdf
Physics-based Feature Dehazing Networks
- Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123750188.pdf
4.去模糊（Deblurring）
End-to-end Interpretable Learning of Non-blind Image Deblurring
- Paper：https://arxiv.org/abs/2007.01769
- Code：https://github.com/teboli/CPCR
Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123510188.pdf
- Code：https://github.com/zzh-tech/ESTRNN
Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123510324.pdf
- Code:https://github.com/Dong1P/MTRNN
Learning Event-Driven Video Deblurring and Interpolation
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123530681.pdf
Defocus Deblurring Using Dual-Pixel Data
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123550120.pdf
- Code:https://github.com/Abdullah-Abuolaim/defocus-deblurring-dual-pixel
Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700188.pdf
- Code:https://github.com/rimchang/RealBlur
OID: Outlier Identifying and Discarding in Blind Image Deblurring
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700596.pdf
Enhanced Sparse Model for Blind Deblurring
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700630.pdf
5.去噪（Denoising）
Unpaired Learning of Deep Image Denoising
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123490341.pdf
- Code:https://github.com/XHWXD/DBSN
Practical Deep Raw Image Denoising on Mobile Devices
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123510001.pdf
Reconstructing the Noise Variance Manifold for Image Denoising
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123540596.pdf
Burst Denoising via Temporally Shifted Wavelet Transforms
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123580239.pdf
Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123610732.pdf
- Code：https://github.com/majedelhelou/SFM
Learning Graph-Convolutional Representations for Point Cloud Denoising
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123650103.pdf
- Code：https://github.com/diegovalsesia/GPDNet
Spatial Hierarchy Aware Residual Pyramid Network for Time-of-Flight Depth Denoising
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123690035.pdf
A Decoupled Learning Scheme for Real-world Burst Denoising from Raw Images
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700154.pdf
Spatial-Adaptive Network for Single Image Denoising
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123750171.pdf
- Code:https://github.com/JimmyChame/SADNet
6.图像恢复（Image Restoration）
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation
- Paper：https://arxiv.org/abs/2003.13659
- Code：https://github.com/XingangPan/deep-generative-prior
Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework
- Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123580443.pdf
LIRA: Lifelong Image Restoration from Unknown Blended Distortions
- Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123630596.pdf
Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration
- Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123650052.pdf
- Code：https://github.com/hejingwenhejingwen/CResMD
Microscopy Image Restoration with Deep Wiener-Kolmogorov filters
- Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123650188.pdf
- Code：https://github.com/vpronina/DeepWienerRestoration/
Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration
- Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123670239.pdf
- Code：https://github.com/bruno-31/groupsc
Learning Enriched Features for Real Image Restoration and Enhancement
- Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700494.pdf
- Code：https://github.com/swz30/MIRNet
Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration
- Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123740307.pdf
7.图像增强（Image Enhancement）
URIE: Universal Image Enhancement for Visual Recognition in the Wild
- Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123540715.pdf
- Code：https://github.com/taeyoungson/urie
Early Exit Or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images
- Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123610273.pdf
- Code：https://github.com/RyanXingQL/RBQE
Global and Local Enhancement Networks For Paired and Unpaired Image Enhancement
- Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700341.pdf
PieNet: Personalized Image Enhancement Network
- Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123750375.pdf
8.图像去摩尔纹（Image Demoireing）
Wavelet-Based Dual-Branch Neural Network for Image Demoireing
- Paper：https://arxiv.org/abs/2007.07173
- Analysis：#每日五分钟一读# Image Demoireing
9.图像修复（Inpainting）
Learning Joint Spatial-Temporal Transformations for Video Inpainting
- Paper：https://arxiv.org/abs/2007.10247
- Code：https://github.com/researchmm/STTN
Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations
- Paper：https://arxiv.org/abs/2007.06929
- Code：https://github.com/KumapowerLIU/ECCV2020oralRethinking-Image-Inpainting-via-a-Mutual-Encoder-Decoder-with-Feature-Equalizations
- Analysis：ECCV2020(Oral) Rethinking image inpainting
High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling
- Paper：https://arxiv.org/abs/2005.11742v1
- Homepage：https://zengxianyu.github.io/iic/
Short-Term and Long-Term Context Aggregation Network for Video Inpainting
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123490698.pdf
Learning Object Placement by Inpainting for Compositional Data Augmentation
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123580562.pdf
DVI: Depth Guided Video Inpainting for Autonomous Driving
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123660001.pdf
- Code：https://github.com/sibozhang/Depth-Guided-Inpainting
VCNet: A Robust Approach to Blind Image Inpainting
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700749.pdf
- Code：https://github.com/shepnerd/blindinpainting_vcnet
Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123720681.pdf
10.图像质量评价（Image Quality Assessment）
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
- Paper:https://arxiv.org/pdf/2007.12142.pdf
GIQA: Generated Image Quality Assessment
- Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700749.pdf
- Code：https://github.com/cientgu/GIQA
持续更新~
参考
[1] ECCV 2020 超分辨率方向上接收文章总结
[2] ECCV 2020 超分辨率方向上接收文章总结（持续更新）持续更新
[3] ECCV 2020 | 空间-角度信息交互的光场图像超分辨，性能优异代码已开源
[4] ECCV2020-Code
[5] ECCV 2020 | 图匠数据、华中师范提出低质退化文本识别算法PlugNet
[6] ECCV2020(Oral) Rethinking image inpainting
[7] ECCV 2020 Oral 论文汇总！
[8] #每日五分钟一读# Image Demoireing
码字不易，如果您觉得有帮助，欢迎点赞和收藏~~
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