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cs.CV2025
AttenCraft: Attention-guided Disentanglement of Multiple Concepts for Text-to-Image Customization
Junjie Shentu, Matthew Watson, Noura Al Moubayed
Text-to-image (T2I) customization empowers users to adapt the T2I diffusion model to new concepts absent in the pre-training dataset. On this basis, capturing multiple new concepts…
cs.CV2024
Textual Localization: Decomposing Multi-concept Images for Subject-Driven Text-to-Image Generation
Junjie Shentu, Matthew Watson, Noura Al Moubayed
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. However, prevalent sub…