  Motion blur is one of the most common degradation artifacts in dynamic scene
photography. This paper reviews the NTIRE 2020 Challenge on Image and Video
Deblurring. In this challenge, we present the evaluation results from 3
competition tracks as well as the proposed solutions. Track 1 aims to develop
single-image deblurring methods focusing on restoration quality. On Track 2,
the image deblurring methods are executed on a mobile platform to find the
balance of the running speed and the restoration accuracy. Track 3 targets
developing video deblurring methods that exploit the temporal relation between
input frames. In each competition, there were 163, 135, and 102 registered
participants and in the final testing phase, 9, 4, and 7 teams competed. The
winning methods demonstrate the state-ofthe-art performance on image and video
deblurring tasks.
