ComposeAnything generates composite object priors from LLM-generated 2.5D layouts and guides diffusion denoising, improving compositional fidelity in text-to-image generation.
Attend-and-excite: Attention- based semantic guidance for text-to-image diffusion models
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ComposeAnything: Composite Object Priors for Text-to-Image Generation
ComposeAnything generates composite object priors from LLM-generated 2.5D layouts and guides diffusion denoising, improving compositional fidelity in text-to-image generation.