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Text-to-Image Synthesis using GAN
GAN … (with source code will update soon…) Generation of Plausible image from text description as a input prompt. And input image is noise.  to  Image dataset used: [Oxford 102 flowers](https://www.robots.ox.ac.uk/~vgg/data/flowers/102/) (Python, TensorFlow, DCGAN, RNN, CNN, LSTM, ReLu,) TASKS/ACHIEVEMENTS: **1\. GAN neural networks (Deep Learning)** * Generator, Discriminator concepts * Text embeddings for visual attributes * Interpolation of text embeddings * Refinements, Loss calculations Objective: * To develop a model to generate plausible images of flower from the detailed text descriptions.
Project details...
Generative Adversarial Neural networks \- Output as plausible Image of flower when text description of flower is given as input.
Project screenshot
   Generated Image: Text: “the petals on this flower are yellow with a red center and pink leafs”  
