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Found 3 papers, 2 papers with code
Object Retrieval and Localization in Large Art Collections using Deep Multi-Style Feature Fusion and Iterative Voting
In the following, we introduce an algorithm that allows users to search for image regions containing specific motifs or objects and find similar regions in an extensive dataset, helping art historians to analyze large digitized art collections.
A Content Transformation Block For Image Style Transfer
Recent work has significantly improved the representation of color and texture and computational speed and image resolution.
A Style-Aware Content Loss for Real-time HD Style Transfer
These and our qualitative results ranging from small image patches to megapixel stylistic images and videos show that our approach better captures the subtle nature in which a style affects content.
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