The Hidden Language of Diffusion Models
- URL: http://arxiv.org/abs/2306.00966v3
- Date: Thu, 5 Oct 2023 12:55:12 GMT
- Title: The Hidden Language of Diffusion Models
- Authors: Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher,
Michal Irani, Inbar Mosseri, Lior Wolf
- Abstract summary: We present Conceptor, a novel method to interpret the internal representation of a textual concept by a diffusion model.
We find surprising visual connections between concepts, that transcend their textual semantics.
We additionally discover concepts that rely on mixtures of exemplars, biases, renowned artistic styles, or a simultaneous fusion of multiple meanings.
- Score: 70.03691458189604
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Text-to-image diffusion models have demonstrated an unparalleled ability to
generate high-quality, diverse images from a textual prompt. However, the
internal representations learned by these models remain an enigma. In this
work, we present Conceptor, a novel method to interpret the internal
representation of a textual concept by a diffusion model. This interpretation
is obtained by decomposing the concept into a small set of human-interpretable
textual elements. Applied over the state-of-the-art Stable Diffusion model,
Conceptor reveals non-trivial structures in the representations of concepts.
For example, we find surprising visual connections between concepts, that
transcend their textual semantics. We additionally discover concepts that rely
on mixtures of exemplars, biases, renowned artistic styles, or a simultaneous
fusion of multiple meanings of the concept. Through a large battery of
experiments, we demonstrate Conceptor's ability to provide meaningful, robust,
and faithful decompositions for a wide variety of abstract, concrete, and
complex textual concepts, while allowing to naturally connect each
decomposition element to its corresponding visual impact on the generated
images. Our code will be available at: https://hila-chefer.github.io/Conceptor/
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