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GAN has been used to synthesize forged images starting from the text description. The problem of generating images from text can be decomposed into two manageable sub-problems using StackGAN. In this approach, we stack two stages of the generative network based on certain conditions to achieve this challenging task of realistic image generation from text input.
• Study the concepts of StackGAN model
• Synthesize realistic image from text

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Generative adversarial networks
generative models
deep learning
image processing
tensorflow

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