This invention describes a method for creating images from text descriptions. It takes a text description that specifically includes a color, processes it through a neural network to understand its meaning, and then uses this understanding to generate an initial image. A second neural network refines this image, explicitly incorporating the color information from the text to produce a more accurate final image.
Why it matters: Filed before diffusion models revolutionized text-to-image generation. The method of explicitly embedding and refining color information, as detailed in the claims, could be re-implemented with modern, more powerful generative architectures.
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