首页>
外国专利>
Method for learning cross-domain relations based on generative adversarial networks
Method for learning cross-domain relations based on generative adversarial networks
展开▼
机译:基于生成对抗网络的跨域关系学习方法
展开▼
页面导航
摘要
著录项
相似文献
摘要
A generative adversarial networks-based or GAN-based method for learning cross-domain relations is disclosed. A provided architecture includes two coupled GANs: a first GAN learning a translation of images from domain A to domain B, and a second GAN learning a translation of images from domain B to domain A. A loop formed by the first GAN and the second GAN causes sample images to be reconstructed into an original domain after being translated into a target domain. Therefore, loss functions representing reconstruction losses of the images may be used to train generative models.
展开▼