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Generative Adversarial Text-to-Image Synthesis

Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee

This is the code for our ICML 2016 paper on text-to-image synthesis using conditional GANs. You can use it to train and sample from text-to-image models.

dcgan_networkFor setup and usage please visit: https://github.com/reedscot/icml2016

You can also interest in Learning Deep Representations of Fine-grained Visual Descriptions

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Ferhat Kurt

Ferhat Kurt

NVIDIA Deep Learning Institute Sertifikalı eğitmen.

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