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Awesome-ECCV2020-Low-Level-VisionAwesome

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。

【Contents】

1.超分辨率(Super-Resolution)

图像超分辨率

Invertible Image Rescaling

Component Divide-and-Conquer for Real-World Image Super-Resolution

SRFlow: Learning the Super-Resolution Space with Normalizing Flow

Single Image Super-Resolution via a Holistic Attention Network

Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks

VarSR: Variational Super-Resolution Network for Very Low Resolution Images

Learning with Privileged Information for Efficient Image Super-Resolutionq

Binarized Neural Network for Single Image Super Resolution

Towards Content-independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation

视频超分辨率

Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning

MuCAN: Multi-Correspondence Aggregation Network for Video Super-Resolution

Video Super-Resolution with Recurrent Structure-Detail Network

人脸超分辨率

Face Super-Resolution Guided by 3D Facial Priors

光场图像超分辨率

Spatial-Angular Interaction for Light Field Image Super-Resolution

高光谱图像超分辨率

Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution

零样本超分辨率

Zero-Shot Image Super-Resolution with Depth Guided Internal Degradation Learning

Fast Adaptation to Super-Resolution Networks via Meta-Learning

文本超分辨率

PlugNet: Degradation Aware Scene Text Recognition Supervised by a Pluggable Super-Resolution Unit

Scene Text Image Super-Resolution in the Wild

绘画超分辨率

Texture Hallucination for Large-Factor Painting Super-Resolution

超分辨率模型压缩/轻量化

Journey Towards Tiny Perceptual Super-Resolution

LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block

PAMS: Quantized Super-Resolution via Parameterized Max Scale

标记超分

Mining self-similarity: Label super-resolution with epitomic representations

2.图像去雨(Image Deraining)

Rethinking Image Deraining via Rain Streaks and Vapors

Beyond Monocular Deraining: Paired Rain Removal Networks via Unpaired Semantic Understanding

3.图像去雾(Image Dehazing)

HardGAN: A Haze-Aware Representation Distillation GAN for Single Image Dehazing

Physics-based Feature Dehazing Networks

4.去模糊(Deblurring)

End-to-end Interpretable Learning of Non-blind Image Deblurring

Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring

Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training

Learning Event-Driven Video Deblurring and Interpolation

Defocus Deblurring Using Dual-Pixel Data

Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms

OID: Outlier Identifying and Discarding in Blind Image Deblurring

Enhanced Sparse Model for Blind Deblurring

5.去噪(Denoising)

Unpaired Learning of Deep Image Denoising

Practical Deep Raw Image Denoising on Mobile Devices

Reconstructing the Noise Variance Manifold for Image Denoising

Burst Denoising via Temporally Shifted Wavelet Transforms

Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks

Learning Graph-Convolutional Representations for Point Cloud Denoising

Spatial Hierarchy Aware Residual Pyramid Network for Time-of-Flight Depth Denoising

A Decoupled Learning Scheme for Real-world Burst Denoising from Raw Images

Spatial-Adaptive Network for Single Image Denoising

6.图像恢复(Image Restoration)

Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation

Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework

LIRA: Lifelong Image Restoration from Unknown Blended Distortions

Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration

Microscopy Image Restoration with Deep Wiener-Kolmogorov filters

Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration

Learning Enriched Features for Real Image Restoration and Enhancement

Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration

Blind Face Restoration via Deep Multi-scale Component Dictionaries

Flow-edge Guided Video Completion

7.图像增强(Image Enhancement)

URIE: Universal Image Enhancement for Visual Recognition in the Wild

Early Exit Or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images

Global and Local Enhancement Networks For Paired and Unpaired Image Enhancement

PieNet: Personalized Image Enhancement Network

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

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

Conditional Sequential Modulation for Efficient Global Image Retouching

8.图像去摩尔纹(Image Demoireing)

Wavelet-Based Dual-Branch Neural Network for Image Demoireing

FHDe²Net: Full High Definition Demoireing Network

9.图像修复(Inpainting)

Learning Joint Spatial-Temporal Transformations for Video Inpainting

Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations

High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling

Short-Term and Long-Term Context Aggregation Network for Video Inpainting

Learning Object Placement by Inpainting for Compositional Data Augmentation

DVI: Depth Guided Video Inpainting for Autonomous Driving

VCNet: A Robust Approach to Blind Image Inpainting

Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes

10.图像质量评价(Image Quality Assessment)

PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration

GIQA: Generated Image Quality Assessment

11.插帧(Frame Interpolation)

Learning Event-Driven Video Deblurring and Interpolation

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

A Flexible Recurrent Residual Pyramid Network for Video Frame Interpolation

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

12.视频/图像压缩(Video/Image Compression)

Improving Deep Video Compression by Resolution-adaptive Flow Coding

Content Adaptive and Error Propagation Aware Deep Video Compression

Conditional Entropy Coding for Efficient Video Compression

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

Deep Image Compression using Decoder Side Information

Task-Aware Quantization Network for JPEG Image Compression

13.其他多任务

持续更新~

参考

码字不易,如果您觉得有帮助,欢迎star~~

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