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Deep Image Harmonization
2017
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Compositing is one of the most common operations in photo editing. To generate realistic composites, the appearances of foreground and background need to be adjusted to make them compatible. Previous approaches to harmonize composites have focused on learning statistical relationships between hand-crafted appearance features of the foreground and background, which is unreliable especially when the contents in the two layers are vastly different. In this work, we propose an end-to-end deep
doi:10.1109/cvpr.2017.299
dblp:conf/cvpr/TsaiSLSL017
fatcat:gd2ww7pfdnferdowtqiez6jx3m