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Datasets

Greatest papers with code

Residual Dense Network for Image Super-Resolution

CVPR 2018 idealo/image-super-resolution

In this paper, we propose a novel residual dense network (RDN) to address this problem in image SR. We fully exploit the hierarchical features from all the convolutional layers.

COLOR IMAGE DENOISING IMAGE SUPER-RESOLUTION

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).

COLOR IMAGE DENOISING DEBLURRING IMAGE DENOISING IMAGE RESTORATION

Real Image Denoising with Feature Attention

ICCV 2019 saeed-anwar/RIDNet

Deep convolutional neural networks perform better on images containing spatially invariant noise (synthetic noise); however, their performance is limited on real-noisy photographs and requires multiple stage network modeling.

COLOR IMAGE DENOISING IMAGE DENOISING

Beyond Deep Residual Learning for Image Restoration: Persistent Homology-Guided Manifold Simplification

19 Nov 2016iorism/CNN

To address this issue, here we propose a novel feature space deep residual learning algorithm that outperforms the existing residual learning.

COLOR IMAGE DENOISING IMAGE RESTORATION IMAGE SUPER-RESOLUTION

Rethinking the CSC Model for Natural Images

NeurIPS 2019 drorsimon/CSCNet

Sparse representation with respect to an overcomplete dictionary is often used when regularizing inverse problems in signal and image processing.

COLOR IMAGE DENOISING

Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies

7 Apr 2016tum-vision/sublabel_relax

Convex relaxations of nonconvex multilabel problems have been demonstrated to produce superior (provably optimal or near-optimal) solutions to a variety of classical computer vision problems.

COLOR IMAGE DENOISING IMAGE DENOISING OPTICAL FLOW ESTIMATION

Rank-One Network: An Effective Framework for Image Restoration

25 Nov 2020shangqigao/RONet

The RO decomposition is developed to decompose a corrupted image into the RO components and residual.

COLOR IMAGE DENOISING IMAGE DENOISING IMAGE RESTORATION IMAGE SUPER-RESOLUTION

Blind Universal Bayesian Image Denoising with Gaussian Noise Level Learning

5 Jul 2019majedelhelou/BUIFD

Blind and universal image denoising consists of using a unique model that denoises images with any level of noise.

COLOR IMAGE DENOISING IMAGE DENOISING

Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising

13 Jun 2018ayanc/rpcnn

In this work, we propose a new method for natural image denoising that trains a deep neural network to determine whether patches in a noisy image input share common underlying patterns.

COLOR IMAGE DENOISING IMAGE DENOISING IMAGE RESTORATION