Browse > Computer Vision > Image Restoration

Image Restoration

33 papers with code · Computer Vision

State-of-the-art leaderboards

No evaluation results yet. Help compare methods by submit evaluation metrics.

Greatest papers with code

Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections

29 Jun 2016titu1994/Image-Super-Resolution

In this work, we propose a very deep fully convolutional auto-encoder network for image restoration, which is a encoding-decoding framework with symmetric convolutional-deconvolutional layers.

IMAGE DENOISING IMAGE RESTORATION SUPER RESOLUTION

Noise2Noise: Learning Image Restoration without Clean Data

ICML 2018 NVlabs/noise2noise

We apply basic statistical reasoning to signal reconstruction by machine learning -- learning to map corrupted observations to clean signals -- with a simple and powerful conclusion: it is possible to learn to restore images by only looking at corrupted examples, at performance at and sometimes exceeding training using clean data, without explicit image priors or likelihood models of the corruption.

DENOISING IMAGE RESTORATION

Learning Deep CNN Denoiser Prior for Image Restoration

CVPR 2017 cszn/ircnn

Recent works have revealed that, with the aid of variable splitting techniques, denoiser prior can be plugged in as a modular part of model-based optimization methods to solve other inverse problems (e. g., deblurring).

DEBLURRING IMAGE DENOISING IMAGE RESTORATION

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels

29 Mar 2019cszn/DPSR

In this paper, we propose a principled formulation and framework by extending bicubic degradation based deep SISR with the help of plug-and-play framework to handle LR images with arbitrary blur kernels.

DEBLURRING IMAGE RESTORATION IMAGE SUPER-RESOLUTION

The 2018 PIRM Challenge on Perceptual Image Super-resolution

20 Sep 2018alterzero/DBPN-Pytorch

This paper reports on the 2018 PIRM challenge on perceptual super-resolution (SR), held in conjunction with the Perceptual Image Restoration and Manipulation (PIRM) workshop at ECCV 2018.

IMAGE RESTORATION IMAGE SUPER-RESOLUTION

Neural Nearest Neighbors Networks

NeurIPS 2018 visinf/n3net

To exploit our relaxation, we propose the neural nearest neighbors block (N3 block), a novel non-local processing layer that leverages the principle of self-similarity and can be used as building block in modern neural network architectures.

IMAGE DENOISING IMAGE RESTORATION IMAGE SUPER-RESOLUTION

MemNet: A Persistent Memory Network for Image Restoration

ICCV 2017 tyshiwo/MemNet

We apply MemNet to three image restoration tasks, i. e., image denosing, super-resolution and JPEG deblocking.

IMAGE RESTORATION IMAGE SUPER-RESOLUTION

Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning

CVPR 2018 yuke93/RL-Restore

We investigate a novel approach for image restoration by reinforcement learning.

IMAGE RESTORATION

Non-Local Recurrent Network for Image Restoration

NeurIPS 2018 Ding-Liu/NLRN

The main contributions of this work are: (1) Unlike existing methods that measure self-similarity in an isolated manner, the proposed non-local module can be flexibly integrated into existing deep networks for end-to-end training to capture deep feature correlation between each location and its neighborhood.

IMAGE DENOISING IMAGE RESTORATION IMAGE SUPER-RESOLUTION