TY  - CONF
AU  - Yaxing Wang
AU  - Abel Gonzalez-Garcia
AU  - Joost Van de Weijer
AU  - Luis Herranz
A2  - ACM-MM
PY  - 2019//
TI  - SDIT: Scalable and Diverse Cross-domain Image Translation
BT  - 27th ACM International Conference on Multimedia
SP  - 1267–1276
N2  - Recently, image-to-image translation research has witnessed remarkable progress. Although current approaches successfully generate diverse outputs or perform scalable image transfer, these properties have not been combined into a single method. To address this limitation, we propose SDIT: Scalable and Diverse image-to-image translation. These properties are combined into a single generator. The diversity is determined by a latent variable which is randomly sampled from a normal distribution. The scalability is obtained by conditioning the network on the domain attributes. Additionally, we also exploit an attention mechanism that permits the generator to focus on the domain-specific attribute. We empirically demonstrate the performance of the proposed method on face mapping and other datasets beyond faces.
UR  - https://doi.org/10.1145/3343031.3351004
L1  - http://refbase.cvc.uab.es/files/WGW2019.pdf
N1  - LAMP; 600.106; 600.109; 600.141; 600.120
ID  - Yaxing Wang2019
ER  -