Original Source : dcgan.torch
Dataset is street snap images(128x128).
This network is generate images of 128x128 pixels.
These are generated images by DCGAN.
Use Pre-trained Model : GoogleNews-vectors-negative300
- translator(Ko => En) -> Word2Vec(Pre-trained model)
- similarity(input_text, gender_words, category_words)
- Find Best Match Image => Generate Image.
- Image Analysis(Gender, Category)
- similarity(input_text, gender_words, category_words)
- DCGAN -> Discriminator Model(Good / Bad)