DRIFT uses a multi-frame network trained with adversarial perceptual loss for alignment, denoising, demosaicing and super-resolution, followed by an efficient deep tone-mapping module that supports tunability and reference consistency.
Which tone-mapping operator is the best? a com- parative study of perceptual quality.Journal of the Optical Society of America A, 35(4):626–638
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DRIFT: Deep Restoration, ISP Fusion, and Tone-mapping
DRIFT uses a multi-frame network trained with adversarial perceptual loss for alignment, denoising, demosaicing and super-resolution, followed by an efficient deep tone-mapping module that supports tunability and reference consistency.