1.7k citations · 2k across the 66 of their papers we have counts for
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Pixel Adaptive Filtering Units
Filippos Kokkinos, Ioannis Marras, Matteo Maggioni +2
State-of-the-art methods for computer vision rely heavily on the translation equivariance and spatial sharing properties of convolutional layers without explicitly taking into cons…
AIM 2019 Challenge on Image Demoireing: Methods and Results
Shanxin Yuan, Radu Timofte, Gregory Slabaugh +25
This paper reviews the first-ever image demoireing challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ICCV 2019. This paper desc…
AIM 2019 Challenge on Image Demoireing: Dataset and Study
Shanxin Yuan, Radu Timofte, Gregory Slabaugh +1
This paper introduces a novel dataset, called LCDMoire, which was created for the first-ever image demoireing challenge that was part of the Advances in Image Manipulation (AIM) wo…
CURL: Neural Curve Layers for Global Image Enhancement
Sean Moran, Steven McDonagh, Gregory Slabaugh
We present a novel approach to adjust global image properties such as colour, saturation, and luminance using human-interpretable image enhancement curves, inspired by the Photosho…
SteReFo: Efficient Image Refocusing with Stereo Vision
Benjamin Busam, Matthieu Hog, Steven McDonagh +1
Whether to attract viewer attention to a particular object, give the impression of depth or simply reproduce human-like scene perception, shallow depth of field images are used ext…
NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network
Hao Guan, Liu Liu, Sean Moran +2
Denoising extreme low light images is a challenging task due to the high noise level. When the illumination is low, digital cameras increase the ISO (electronic gain) to amplify th…