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Title
Illustration2Vec: A Semantic Vector Representation of Illustrations
Date
Monday, 02 November
Time
09:00 - 11:45
Location
Kobe Int’l Conference Center, Room 501, Level 5

Illustration2Vec: A Semantic Vector Representation of Illustrations


Monday, 02 November: 09:00 - 11:45

We build a semantic vector representation of illustrations by training CNNs. As the proposed vector space correctly reflects the semantic meanings of illustrations, users can efficiently search illustrations with similar attributes. In addition, a semantic morphing algorithm that searches the intermediate illustrations that gradually connect two queries is proposed.


Presenter(s)

Yusuke Matsui, The University of Tokyo
Masaki Saito, Tohoku University

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