Rethinking Diffusion‑Based Video Super‑Resolution with Dense Feature‑Guided Alignment (DGAF‑VSR)
The paper introduces DGAF‑VSR, a diffusion‑model video super‑resolution framework that leverages feature‑domain alignment and dense temporal guidance via an Optical‑Guided Warping Module and a Feature‑wise Temporal Condition Module, achieving state‑of‑the‑art perceptual, fidelity, and temporal scores on REDS4, Vid4 and VideoLQ datasets.
