StarGAN: Unified Generative Adversarial Networks for Multi-domain Image-to-Image Translation

• Published in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 8789 - 8797
• Main Authors: Choi, Yunjey, Choi, Minje, Kim, Munyoung, Ha, Jung-Woo, Kim, Sunghun, Choo, Jaegul
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.06.2018
• Subjects: Gallium nitride; Generative adversarial networks; Generators; Hair; Image reconstruction; Task analysis; Training

Recent studies have shown remarkable success in image-to-image translation for two domains. However, existing approaches have limited scalability and robustness in handling more than two domains, since different models should be built independently for every pair of image domains. To address this li...