The Hidden Language of Diffusion Models

By H. Chefer et al
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Table of Contents

1. Introduction
2. Related Work
3. Method Preliminaries
4. Experiments
4.1. Qualitative Results

Summary

The document discusses the CONCEPTOR method for interpreting the internal representations of text-to-image diffusion models. It introduces a novel approach to decompose textual concepts into interpretable elements, revealing non-trivial structures in the representations. The method aims to provide meaningful, robust, and faithful decompositions for a wide variety of abstract, concrete, and complex textual concepts. Through experiments, it demonstrates the method's effectiveness in understanding the inner workings of text-to-image diffusion models.
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