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.

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Image dataset used: Oxford 102 flowers

(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.