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Implicit Concept Removal of Diffusion Models

By Zhili Liu and others at
LogoHong Kong University of Science and Technology
and
LogoNational University of Singapore
Text-to-image (T2I) diffusion models often inadvertently generate unwanted concepts such as watermarks and unsafe images. These concepts, termed as the "implicit concepts", could be unintentionally learned during training and then be generated uncontrollably during inference. Existing removal methods still struggle to eliminate implicit concepts primarily due to their dependency on... Show more
September 2, 2024
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Implicit Concept Removal of Diffusion Models
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