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Color bias from black-level errors can severely impact low-light image denoising, but a new calibration-free approach effectively corrects this issue, outperforming traditional methods.
AVIS achieves a superior accuracy-compute balance by dynamically adjusting visual context and reasoning depth, outperforming traditional single-axis optimization methods.
By using restored faces to estimate scene-wide degradation, Face2Scene unlocks more realistic and artifact-free image restoration compared to methods that ignore degradation cues or focus solely on faces.
