/text_to_image_with_transformer

An educational project dedicated to text-to-image generation with neural networks. VQVAE and BPE autoencoders are used to learn the embedding of text and image respectively. A transformer-based model then is trained to predict the next token in the concatenated sequence of image and text tokens and used for generation.

Primary LanguagePython

text_to_image_with_transformer