A GAN for text-to-image synthesis that learns disentangled content and style codes via dual adversarial inference and cycle consistency, improving FID on Oxford-102, CUB, and COCO at 64x64.
Infogan: Interpretable rep- resentation learning by information maximizing generative adversarial nets
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Dual Adversarial Inference for Text-to-Image Synthesis
A GAN for text-to-image synthesis that learns disentangled content and style codes via dual adversarial inference and cycle consistency, improving FID on Oxford-102, CUB, and COCO at 64x64.