SRAGAN: Saliency Regularized and Attended Generative Adversarial Network for Chinese Ink-wash Painting Generation

arXiv:2404.15743v1 Announce Type: new
Abstract: This paper handles the problem of converting real pictures into traditional Chinese ink-wash paintings, i.e., Chinese ink-wash painting style transfer. Though this problem could be realized by a wide range of image-to-image translation models, a notable issue with all these methods is that the original image content details could be easily erased or corrupted due to transfer of ink-wash style elements. To solve or ameliorate this issue, we propose to incorporate saliency detection into the …

abstract adversarial arxiv chinese cs.cv generative generative adversarial network image image-to-image image-to-image translation issue network painting paper style style transfer transfer translation type