Browse > Computer Vision > Image Restoration

# Image Restoration Edit

80 papers with code · Computer Vision

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# Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder

6 May 2020GuanlinLee/FPD-for-Adversarial-Robustness

Whereas adversarial training is employed as the main defence strategy against specific adversarial samples, it has limited generalization capability and incurs excessive time complexity.

5
06 May 2020

# Pyramid Attention Networks for Image Restoration

28 Apr 2020SHI-Labs/Pyramid-Attention-Networks

Self-similarity refers to the image prior widely used in image restoration algorithms that small but similar patterns tend to occur at different locations and scales.

74
28 Apr 2020

# Attention Prior for Real Image Restoration

26 Apr 2020saeed-anwar/R2Net

Furthermore, the evaluation in terms of quantitative metrics and visual quality for four restoration tasks i. e. Denoising, Super-resolution, Raindrop Removal, and JPEG Compression on 11 real degraded datasets against more than 30 state-of-the-art algorithms demonstrate the superiority of our R$^2$Net.

11
26 Apr 2020

# Microscopy Image Restoration using Deep Learning on W2S

22 Apr 2020mchatton/w2s-tensorflow

We develop a deep learning algorithm based on the networks and method described in the recent W2S paper to solve a joint denoising and super-resolution problem.

10
22 Apr 2020

# Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy

1 Apr 2020clovaai/cutblur

The key intuition of CutBlur is to enable a model to learn not only "how" but also "where" to super-resolve an image.

128
01 Apr 2020

# Image Demoireing with Learnable Bandpass Filters

1 Apr 2020zhenngbolun/Learnbale_Bandpass_Filter

Image demoireing is a multi-faceted image restoration task involving both texture and color restoration.

7
01 Apr 2020

# Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation

30 Mar 2020XingangPan/deep-generative-prior

Learning a good image prior is a long-term goal for image restoration and manipulation.

67
30 Mar 2020

# CycleISP: Real Image Restoration via Improved Data Synthesis

17 Mar 2020swz30/CycleISP

This is mainly because the AWGN is not adequate for modeling the real camera noise which is signal-dependent and heavily transformed by the camera imaging pipeline.

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17 Mar 2020

# Stochastic Frequency Masking to Improve Super-Resolution and Denoising Networks

16 Mar 2020sfm-sr-denoising/sfm

Super-resolution and denoising are ill-posed yet fundamental image restoration tasks.

31
16 Mar 2020

# Learning Enriched Features for Real Image Restoration and Enhancement

15 Mar 2020swz30/MIRNet

With the goal of recovering high-quality image content from its degraded version, image restoration enjoys numerous applications, such as in surveillance, computational photography, medical imaging, and remote sensing.

22
15 Mar 2020