We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.
python machine-learning deep-neural-networks deep-learning discriminator generative-adversarial-network gan batch-normalization dcgan sentence cubs loss-functions skip-thought-vectors text-encodings mscoco mscoco-dataset dcgan-tensorflow tensrorflow stack-gan
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Updated
May 7, 2018 - HTML