VLM-based selection and ensembling of diffusion super-resolution samples is proposed, together with a hybrid Trustworthiness Score, but the score is partially fitted and its claimed human-preference correlation is not actually measured.
Deep Learning for Image/Video Restoration and Super-resolution
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models
VLM-based selection and ensembling of diffusion super-resolution samples is proposed, together with a hybrid Trustworthiness Score, but the score is partially fitted and its claimed human-preference correlation is not actually measured.