research
∙
03/28/2022
The State of Fortran
A community of developers has formed to modernize the Fortran ecosystem....
share
research
∙
07/31/2018
The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution
While implicit generative models such as GANs have shown impressive resu...
research
∙
07/20/2018
Photorealistic Video Super Resolution
With the advent of perceptual loss functions, new possibilities in super...
research
∙
05/04/2018
Automatic Estimation of Modulation Transfer Functions
The modulation transfer function (MTF) is widely used to characterise th...
research
∙
08/14/2017
Learning Blind Motion Deblurring
As handheld video cameras are now commonplace and available in every sma...
research
∙
06/29/2017
Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images
Convolutional neural networks (CNNs) show impressive performance for ima...
research
∙
04/11/2017
Online Video Deblurring via Dynamic Temporal Blending Network
State-of-the-art video deblurring methods are capable of removing non-un...
research
∙
03/27/2017
Discriminative Transfer Learning for General Image Restoration
Recently, several discriminative learning approaches have been proposed ...
research
∙
12/23/2016
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis
Single image super-resolution is the task of inferring a high-resolution...
research
∙
09/06/2016
Depth Estimation Through a Generative Model of Light Field Synthesis
Light field photography captures rich structural information that may fa...
research
∙
06/28/2014
Learning to Deblur
We describe a learning-based approach to blind image deconvolution. It u...
research
∙
03/01/2013
