2 papers
cs.CV2026
Self-Supervised Image Super-Resolution Quality Assessment based on Content-Free Multi-Model Oriented Representation Learning
Kian Majlessi, Amir Masoud Soltani, Mohammad Ebrahim Mahdavi +2
Super-resolution (SR) applied to real-world low-resolution (LR) images often results in complex, irregular degradations that stem from the inherent complexity of natural scene acqu…
cs.LG2025
Biology-driven assessment of deep learning super-resolution imaging of the porosity network in dentin
Lauren Anderson, Lucas Chatelain, Nicolas Tremblay +3
The mechanosensory system of teeth is currently believed to partly rely on Odontoblast cells stimulation by fluid flow through a porosity network extending through dentin. Visualiz…