355 citations · 2.7k across the 325 of their papers we have counts for
17 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…
Towards Spectral Estimation from a Single RGB Image in the Wild
Berk Kaya, Yigit Baran Can, Radu Timofte
In contrast to the current literature, we address the problem of estimating the spectrum from a single common trichromatic RGB image obtained under unconstrained settings (e.g. unk…
SMIT: Stochastic Multi-Label Image-to-Image Translation
Andrés Romero, Pablo Arbeláez, Luc Van Gool +1
Cross-domain mapping has been a very active topic in recent years. Given one image, its main purpose is to translate it to the desired target domain, or multiple domains in the cas…
Practical Full Resolution Learned Lossless Image Compression
Fabian Mentzer, Eirikur Agustsson, Michael Tschannen +2
We propose the first practical learned lossless image compression system, L3C, and show that it outperforms the popular engineered codecs, PNG, WebP and JPEG 2000. At the core of o…
AI Benchmark: Running Deep Neural Networks on Android Smartphones
Andrey Ignatov, Radu Timofte, William Chou +4
Over the last years, the computational power of mobile devices such as smartphones and tablets has grown dramatically, reaching the level of desktop computers available not long ag…
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…