A controllable diffusion pipeline for interior design generation, built from a fine-tuned CLIP encoder, dual attention-based control modules, and a new 400-pair dataset, is claimed to outperform general text-to-image models.
Category, process, and recommendation of design in an interactive evolutionary computation interior design experiment: a data-driven study
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DiffDesign: Controllable Diffusion with Meta Prior for Efficient Interior Design Generation
A controllable diffusion pipeline for interior design generation, built from a fine-tuned CLIP encoder, dual attention-based control modules, and a new 400-pair dataset, is claimed to outperform general text-to-image models.