2 papers
cs.CV2026
TGSR: Text-Grounded Diffusion for Faithful Image Super-Resolution
Zhiming Hu, Ran Zhang, Angela Ye +7
Diffusion models have achieved remarkable success in image super-resolution (SR) by leveraging strong generative priors to enhance perceptual quality. However, for textual content,…
cs.CV2026
RAW-Domain Degradation Models for Realistic Smartphone Super-Resolution
Ali Mosleh, Faraz Ali, Fengjia Zhang +4
Digital zoom on smartphones relies on learning-based super-resolution (SR) models that operate on RAW sensor images, but obtaining sensor-specific training data is challenging due…