271 citations · 272 across the 4 of their papers we have counts for
4 papers
Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Survey
Nicolas Chahine, Marcos V. Conde, Daniela Carfora +4
This paper reviews the NTIRE 2024 Portrait Quality Assessment Challenge, highlighting the proposed solutions and results. This challenge aims to obtain an efficient deep neural net…
Pairwise Comparisons Are All You Need
Nicolas Chahine, Sira Ferradans, Jean Ponce
Blind image quality assessment (BIQA) approaches, while promising for automating image quality evaluation, often fall short in real-world scenarios due to their reliance on a gener…
Generalized Portrait Quality Assessment
Nicolas Chahine, Sira Ferradans, Javier Vazquez-Corral +1
Automated and robust portrait quality assessment (PQA) is of paramount importance in high-impact applications such as smartphone photography. This paper presents FHIQA, a learning-…
An Image Quality Assessment Dataset for Portraits
Nicolas Chahine, Ana-Stefania Calarasanu, Davide Garcia-Civiero +3
Year after year, the demand for ever-better smartphone photos continues to grow, in particular in the domain of portrait photography. Manufacturers thus use perceptual quality crit…