Diffusion models (DMs) have disrupted the image super-resolution (SR) field and further
closed the gap between image quality and human perceptual preferences. They are easy to …

Abstract In image Super-Resolution (SR), relying on large datasets for training is a double-
edged sword. While offering rich training material, they also demand substantial …

In this work, we introduce EyeDentify, a dataset specifically designed for pupil diameter
estimation based on webcam images. EyeDentify addresses the lack of available datasets …

Large-scale, pre-trained Text-to-Image (T2I) diffusion models have gained significant
popularity in image generation tasks and have shown unexpected potential in image Super …

Deep Learning models are currently the cornerstone of artificial intelligence in medical
imaging. The performance of Deep Learning in medical imaging is significantly influenced …

Image super-resolution (SR) is a fundamental task in computer vision that has received
significant attention due to its applications in enhancing image quality across various fields …