10 citations · 10 across the 1 of their papers we have counts for
4 papers · 1 filter
Fast Perceptual Image Enhancement
Etienne de Stoutz, Andrey Ignatov, Nikolay Kobyshev +2
The vast majority of photos taken today are by mobile phones. While their quality is rapidly growing, due to physical limitations and cost constraints, mobile phone cameras struggl…
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
Andrey Ignatov, Radu Timofte, Thang Van Vu +45
This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones. The challenge consisted of two tra…
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras
Andrey Ignatov, Nikolay Kobyshev, Radu Timofte +2
Low-end and compact mobile cameras demonstrate limited photo quality mainly due to space, hardware and budget constraints. In this work, we propose a deep learning solution that tr…
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks
Andrey Ignatov, Nikolay Kobyshev, Radu Timofte +2
Despite a rapid rise in the quality of built-in smartphone cameras, their physical limitations - small sensor size, compact lenses and the lack of specific hardware, - impede them…