Image Generation on Dayton (256×256) - aerial-to-ground

Metric: SSIM (higher is better)

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#	Model↕	SSIM▼	Extra Data	Paper	Date↕	Code
1	SelectionGAN	0.5938	No	Multi-Channel Attention Selection GAN with Casca...	2019-04-15	Code
2	LGGAN	0.5457	No	Local Class-Specific and Global Image-Level Gene...	2019-12-27	Code
3	X-Seq	0.5031	No	Cross-View Image Synthesis using Conditional GANs	2018-03-09	Code
4	X-Fork	0.4963	No	Cross-View Image Synthesis using Conditional GANs	2018-03-09	Code
5	Pix2pix	0.418	No	Image-to-Image Translation with Conditional Adve...	2016-11-21	Code
6	UniGAN	0.3357	No	Unified Generative Adversarial Networks for Cont...	2019-12-12	Code

#1SelectionGANSOTA
0.5938
SSIM· 2019-04-15
Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation Code
#2LGGAN
0.5457
SSIM· 2019-12-27
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation Code
#3X-SeqSOTA
0.5031
SSIM· 2018-03-09
Cross-View Image Synthesis using Conditional GANs Code
#4X-Fork
0.4963
SSIM· 2018-03-09
Cross-View Image Synthesis using Conditional GANs Code
#5Pix2pixSOTA
0.418
SSIM· 2016-11-21
Image-to-Image Translation with Conditional Adversarial Networks Code
#6UniGAN
0.3357
SSIM· 2019-12-12
Unified Generative Adversarial Networks for Controllable Image-to-Image Translation Code