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Image relighting is attracting increasing interest due to its variousapplications. From a research perspective, image relighting can be exploited toconduct both image normalization for domain adaptation, and also for dataaugmentation. It also has multiple direct uses for photo montage and aestheticenhancement. In this paper, we review the NTIRE 2021 depth guided imagerelighting challenge.  We rely on the VIDIT dataset for each of our two challenge tracks, includingdepth information. The first track is on one-to-one relighting where the goalis to transform the illumination setup of an input image (color temperature andlight source position) to the target illumination setup. In the second track,the any-to-any relighting challenge, the objective is to transform theillumination settings of the input image to match those of another guide image,similar to style transfer. In both tracks, participants were given depthinformation about the captured scenes. We had nearly 250 registeredparticipants, leading to 18 confirmed team submissions in the final competitionstage. The competitions, methods, and final results are presented in thispaper.

NTIRE 2021 Depth Guided Image Relighting Challenge