most citedTraining Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts

3 citations · 3 across the 3 of their papers we have counts for

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1 paper

cs.CV2025

Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models

Cansu Korkmaz, Ahmet Murat Tekalp, Zafer Dogan

Super-resolution (SR) is an ill-posed inverse problem with many feasible solutions consistent with a given low-resolution image. On one hand, regressive SR models aim to balance fi…