[AIS3/VHF5-2(Invited)] Improving Material Translation Based on Style Image Retrieval for Neural Style Transfer | Proceedings of the International Display Workshops Volume 27 (IDW '20)

Proceedings of the International Display Workshops Volume 27 (IDW '20)

Dec 9 - Dec 11, 2020Virtual Conference

Back

Proceedings of the International Display Workshops Volume 27 (IDW '20)

Dec 9 - Dec 11, 2020Virtual Conference

[AIS3/VHF5-2(Invited)]Improving Material Translation Based on Style Image Retrieval for Neural Style Transfer

*Gibran Benitez-Garcia¹, Keiji Yanai²(1. OMRON SINIC X Corp (Japan), 2. The University of Electro-Communications (Japan))

https://doi.org/10.36463/idw.2020.0981

Download PDF

Keywords:

style image retrieval,material translation,neural style transfer

In this talk, we introduce a CNN-feature-based image retrieval method to find the ideal style image that better translates the material of an object. We segment objects from the content image by using a weakly supervised segmentation method, and transfer the material of the retrieved style image to the segmented areas. With this method, we achieve realistic images that can even fool human perception.

Back