Bilkent University
Department of Computer Engineering

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CS 590/690 SEMİNAR

 

Learning Portrait Drawing of Face Photos from Unpaired Data with Unsupervised Parts

 

Burak Taşdemir

Master Student
(Supervisor: Asst. Prof. Ayşegül Dündar )
Computer Engineering Department
Bilkent University

Abstract: Translating face photos into portrait drawings take hours for a skilled artist which makes automatic generation of them desirable. Portrait drawing is a difficult image translation task with its own unique challenges. It requires emphasizing important key features of faces as well as ignoring many details of them. Therefore, an image translator should have the capacity to detect facial features and output images with the selected content of the photo preserved. In this work, we propose a method for portrait drawing that only learns from unpaired data with no additional labels. Our proposed loss solves this issue. Lastly, we have conducted extensive experiments both on in-domain and out-of-domain images and compare our method with stateof-the-art approaches. I will show significant improvements both quantitatively and qualitatively on three datasets.

 

DATE: 12 December, Monday @ 15:50 Place: EA 502