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REDS

REalistic and Dynamic Scenes dataset

REDS

We propose the REDS dataset, a novel REalistic and Dynamic Scenes dataset of 720 × 1280 resolution for training and benchmarking example-based video deblurring and super-resolution. REDS is intended to complement the existing video deblurring and SR datasets to increase the content diversity and provide more realism in degradation, especially, motion blur.

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SNU, Seoul, Korea
https://en.snu.ac.kr
Task
Image Enhancement
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Last updated on 
January 20, 2022
Licensed under 
Unknown
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