Image Generation On Stanford Dogs

FID

Results

Performance results of various models on this benchmark

		Paper Title
LR-GAN	54.91	LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation
InfoGAN	29.34	InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets
FineGAN	25.66	FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery
Projected GAN	11.75	Projected GANs Converge Faster

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