Paper Info
Title
YesilcamGAN: Automatic face translation to Yesilcam artists.
Abstract
In this paper, we propose a method that can automatically translate regular human faces to Yesilcam artists. Throughout the paper, two important contributions are presented. First, since a classifier based approach is used, the proposed method automatically selects the most similar artist and makes the face translation. Second, so as to obtain the latent information about faces, a pre-trained model is utilized at the encoder part. Experiments show that visual results which are perceptually promising, Yesilcam artist-like yet preserving facial features of a person, can be synthesized.
Year
Venue
Keywords
2018
Signal Processing and Communications Applications Conference
Cycle-Generative Adversarial Networks,Image-to-Image Translation
Field
DocType
ISSN
Computer vision,Image generation,Pattern recognition,Computer science,Visualization,Artificial intelligence,Encoder,Classifier (linguistics)
Conference
2165-0608
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Savas Ozkan1399.48
Gozde Bozdagi Akar212920.15