Cross View Image To Image Translation On 2

SSIM

评测结果

各个模型在此基准测试上的表现结果

模型名称	SSIM	Paper Title
SelectionGAN	0.5938	Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
X-Fork	0.4963	Cross-View Image Synthesis using Conditional GANs
Pix2pix	0.418	Image-to-Image Translation with Conditional Adversarial Networks
LGGAN	0.5457	Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
UniGAN	0.3357	Unified Generative Adversarial Networks for Controllable Image-to-Image Translation
X-Seq	0.5031	Cross-View Image Synthesis using Conditional GANs

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