​​Zero-Shot Text-to-Image Generation One of the major tasks o | Data Science Digest

​​Zero-Shot Text-to-Image Generation

One of the major tasks of text-to-image generation is finding better modeling assumptions for training on a fixed dataset. Such assumptions involve complex architectures, auxiliary losses, or side information that make it more difficult to handle data. Discover a new method of text-to-image generation based on a transformer that autoregressively models the text and image tokens as a single stream of data. Learn why it is competitive for at-scale data compared to previous domain-specific models when evaluated in a zero-shot fashion.

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