  This paper reviews the AIM 2020 challenge on extreme image inpainting. This
report focuses on proposed solutions and results for two different tracks on
extreme image inpainting: classical image inpainting and semantically guided
image inpainting. The goal of track 1 is to inpaint considerably large part of
the image using no supervision but the context. Similarly, the goal of track 2
is to inpaint the image by having access to the entire semantic segmentation
map of the image to inpaint. The challenge had 88 and 74 participants,
respectively. 11 and 6 teams competed in the final phase of the challenge,
respectively. This report gauges current solutions and set a benchmark for
future extreme image inpainting methods.
