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.