research
∙
07/03/2022
Training Patch Analysis and Mining Skills for Image Restoration Deep Neural Networks
There have been numerous image restoration methods based on deep convolu...
share
research
∙
07/03/2022
Variational Deep Image Restoration
This paper presents a new variational inference framework for image rest...
research
∙
04/02/2021
Variational Deep Image Denoising
Convolutional neural networks (CNNs) have shown outstanding performance ...
research
∙
01/18/2021
Deep Universal Blind Image Denoising
Image denoising is an essential part of many image processing and comput...
research
∙
02/27/2020
Meta-Transfer Learning for Zero-Shot Super-Resolution
Convolutional neural networks (CNNs) have shown dramatic improvements in...
research
∙
02/26/2020
Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization
Real-noise denoising is a challenging task because the statistics of rea...
research
∙
11/09/2019
Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination
Recently, many convolutional neural networks for single image super-reso...
research
∙
06/12/2019
Handwritten Text Segmentation via End-to-End Learning of Convolutional Neural Network
We present a new handwritten text segmentation method by training a conv...
research
∙
05/02/2019
