GAN ... (with source code will update soon...)
Generation of Plausible image from text description as a input prompt. And input image is noise.
Image dataset used: Oxford 102 flowers
(Python, TensorFlow, DCGAN, RNN, CNN, LSTM, ReLu,)
1. GAN neural networks (Deep Learning)
Generative Adversarial Neural networks
- Output as plausible Image of flower when text description of flower is given as input.
Text: "the petals on this flower are yellow with a red center and pink leafs"