Google releases its own caption-conditional image generation model

Below you can see several examples of such images with their corresponding captions beneath: These impressive results no doubt have many wondering how Imagen actually works. Now that we understand what text-to-image models are in general, we can take a look at how the text-to-image model Imagen works from a bird's-eye view. In this article, we'll explain how Imagen works at several levels. Here is a short video outlining how Imagen works, with a breakdown of what's going on below: • First, the caption is input into a text encoder. First, we'll look at the overarching architecture of Imagen with a high-level explanation of how it works, and then inspect each component more thoroughly in the subsections below. Otherwise, you can jump down to the Deep Dive section to get into the nitty-gritty of how Imagen works, or jump straight down to the Final Words. Finally, we'll perform a Deep Dive into Imagen that is intended for Machine Learning researchers, students, and practitioners. The text encoder in Imagen is a Transformer encoder. (). Continue reading.

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