Papers with text encoder of T2I models

1 papers
Diffusion Lens: Interpreting Text Encoders in Text-to-Image Pipelines (2024.acl-long)

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Challenge: Text-to-image diffusion models use a latent text prompt to guide image generation . however, the process by which the encoder produces the text representation is unknown .
Approach: They propose a method for analyzing the text encoder of T2I models by generating images from its intermediate representations.
Outcome: The proposed method provides valuable insights into the text encoder component in T2I pipelines.

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