0
点赞
收藏
分享

微信扫一扫

【ECCV2020】文章、代码和数据链接

草原小黄河 2022-04-16 阅读 78
计算机视觉

Awesome-ECCV2020-Low-Level-Vision

A Collection of Papers and Codes for ECCV2020 Low Level Vision or Image Reconstruction

整理汇总了下今年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star~~

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）

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
  • Code:https://github.com/huangzilingcv/HardGAN

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
  • Code：https://github.com/Lynn0306/LEDVDI

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

Blind Face Restoration via Deep Multi-scale Component Dictionaries

  • Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123540375.pdf
  • Code：https://github.com/csxmli2016/DFDNet

Flow-edge Guided Video Completion

  • Paper:https://arxiv.org/abs/2009.01835
  • Code：https://github.com/vt-vl-lab/FGVC

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

Low Light Video Enhancement using Synthetic Data Produced with an Intermediate Domain Mapping

  • Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123580103.pdf
  • Code：https://github.com/sjmoran/SIDGAN

Multi-level Wavelet-based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video

  • Paper:https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123590392.pdf
  • Code：https://github.com/IceClear/MW-GAN

Conditional Sequential Modulation for Efficient Global Image Retouching

  • Paper:http://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123580664.pdf
  • Code：[https://github.com/hejingwenhejingwen/CSRNet)

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

FHDe²Net: Full High Definition Demoireing Network

  • Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123670715.pdf

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

11.插帧（Frame Interpolation）

Learning Event-Driven Video Deblurring and Interpolation

  • Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123530681.pdf
  • Code：https://github.com/Lynn0306/LEDVDI

BMBC: Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation

  • Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123590103.pdf
  • Code：https://github.com/JunHeum/BMBC

A Flexible Recurrent Residual Pyramid Network for Video Frame Interpolation

  • Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123700477.pdf

All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling

  • Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123720103.pdf
  • Code：https://github.com/chi-chi-zx/all-at-once

12.视频/图像压缩（Video/Image Compression）

Improving Deep Video Compression by Resolution-adaptive Flow Coding

  • Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123470188.pdf

Content Adaptive and Error Propagation Aware Deep Video Compression

  • Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123470443.pdf

Conditional Entropy Coding for Efficient Video Compression

  • Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123620443.pdf

High-quality Single-model Deep Video Compression with Frame-Conv3D and Multi-frame Differential Modulation

  • Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123750239.pdf

Deep Image Compression using Decoder Side Information

  • Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123620681.pdf
  • Code：https://github.com/ayziksha/DSIN

Task-Aware Quantization Network for JPEG Image Compression

  • Paper：https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123650307.pdf

13.其他多任务

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star~~

相关Low-Level-Vision整理

  • Awesome-CVPR2021/CVPR2020-Low-Level-Vision
  • Awesome-ICCV2021-Low-Level-Vision
举报

相关推荐

ECCV2020 | Unsupervised Batch Normalization

数据数据集神经网络编程语言

【ECCV2020】Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation

计算机视觉深度学习机器学习

ECCV2020最佳论文 | 全面解析RAFT算法

人工智能计算机视觉gru

ECCV2020经典之作 | Residual Continual Learning（文末附论文下载）

计算机视觉权重卷积编程语言

ECCV2020又一经典之作 | Residual Continual Learning（文末附论文下载）

计算机视觉权重卷积编程语言

ip协议和数据链路层！

tcp/ip网络服务器

物理层和数据链路层

数据链路层物理层MAC地址运维

Linux网络层和数据链路层协议

IP子网数据链路层C/C++后端开发yyds干货盘点

2020年目标检测大盘点 | ECCV大盘点(附论文&代码下载)

目标检测github计算机视觉前端开发

（ECCV-2020）步态横向网络-GLN

pytorch深度学习python计算机视觉步态识别
0 条评论