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Found 2 papers, 1 papers with code
AttenCraft: Attention-guided Disentanglement of Multiple Concepts for Text-to-Image Customization
In particular, our method leverages self-attention and cross-attention maps to create accurate masks for each concept within a single initialization step, omitting any required mask preparation by humans or other models.
Textual Localization: Decomposing Multi-concept Images for Subject-Driven Text-to-Image Generation
Subject-driven text-to-image diffusion models empower users to tailor the model to new concepts absent in the pre-training dataset using a few sample images.
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