@inproceedings{90ac03292fcf44ed9bf7cfed6cfe58aa,
title = "Self-attention starGAN for multi-domain image-to-image translation",
abstract = "In this paper, we propose a Self-attention StarGAN by introducing the self-attention mechanism into StarGAN to deal with multi-domain image-to-image translation, aiming to generate images with high-quality details and obtain consistent backgrounds. The self-attention mechanism models the long-range dependencies among the feature maps at all positions, which is not limited to the local image regions. Simultaneously, we take the advantage of batch normalization to reduce reconstruction error and generate fine-grained texture details. We adopt spectral normalization in the network to stabilize the training of Self-attention StarGAN. Both quantitative and qualitative experiments on a public dataset have been conducted. The experimental results demonstrate that the proposed model achieves lower reconstruction error and generates images in higher quality compared to StarGAN. We exploit Amazon Mechanical Turk (AMT) for perceptual evaluation, and 68.1% of all 1,000 AMT Turkers agree that the backgrounds of the images generated by Self-attention StarGAN are more consistent with the original images.",
keywords = "GANs, Image-to-image translation, Multi-domain adaptation, Self-attention mechanism",
author = "Ziliang He and Zhenguo Yang and Xudong Mao and Jianming Lv and Qing Li and Wenyin Liu",
year = "2019",
doi = "10.1007/978-3-030-30508-6_43",
language = "English",
isbn = "9783030305079",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "537--549",
editor = "Tetko, {Igor V.} and Pavel Karpov and Fabian Theis and Vera Kurkov{\'a}",
booktitle = "Artificial Neural Networks and Machine Learning – ICANN 2019",
address = "Germany",
note = "28th International Conference on Artificial Neural Networks, ICANN 2019 ; Conference date: 17-09-2019 Through 19-09-2019",
}