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Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation
[article]
2019
arXiv
pre-print
The applicability of computer vision to real paintings and artworks has been rarely investigated, even though a vast heritage would greatly benefit from techniques which can understand and process data from the artistic domain. This is partially due to the small amount of annotated artistic data, which is not even comparable to that of natural images captured by cameras. In this paper, we propose a semantic-aware architecture which can translate artworks to photo-realistic visualizations, thus
arXiv:1811.10666v3
fatcat:fmhdvwafezfzxgctskprte33ke