CYCLIC GENERATIVE ADVERSARIAL NETWORK FOR UNSUPERVISED CROSS-DOMAIN IMAGE GENERATION
展开▼
机译:不受监督的跨域图像生成的循环生成神经网络
展开▼
页面导航
摘要
著录项
相似文献
摘要
A system is provided for unsupervised cross-domain image generation relative to a first and second image domain that each include real images. A first generator generates synthetic images similar to real images in the second domain while including a semantic content of real images in the first domain. A second generator generates synthetic images similar to real images in the first domain while including a semantic content of real images in the second domain. A first discriminator discriminates real images in the first domain against synthetic images generated by the second generator. A second discriminator discriminates real images in the second domain against synthetic images generated by the first generator. The discriminators and generators are deep neural networks and respectively form a generative network and a discriminative network in a cyclic GAN framework configured to increase an error rate of the discriminative network to improve synthetic image quality.
展开▼