7 citations · 7 across the 2 of their papers we have counts for
3 papers
DISRQAD: Diffusion Image Super-Resolution Quality Assessment Dataset and Benchmark
Nikita Kukuzei, Artem Borisov, Evgeney Bogatyrev +3
Diffusion-based image super-resolution (SR) can create visually plausible detail that is not supported by the low-resolution input. We introduce DISRQAD, a subjective-quality datas…
SR-Ground: Image Quality Grounding for Super-Resolved Content
Artem Borisov, Evgeney Bogatyrev, Khaled Abud +1
Super-Resolution (SR) has advanced rapidly in recent years, with diffusion-based models achieving unprecedented fidelity at the cost of introducing new types of visual artifacts. W…
AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results
Ivan Molodetskikh, Artem Borisov, Dmitriy Vatolin +24
This paper presents the Video Super-Resolution (SR) Quality Assessment (QA) Challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with E…