OmniPrism proposes a disentanglement method using a new paired dataset (PCD-200K), COD contrastive training, and block embeddings to inject separated concepts into diffusion models for multi-aspect image generation.
An image is worth multiple words: Multi-attribute inversion for constrained text-to-image syn- thesis
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OmniPrism: Learning Disentangled Visual Concept for Image Generation
OmniPrism proposes a disentanglement method using a new paired dataset (PCD-200K), COD contrastive training, and block embeddings to inject separated concepts into diffusion models for multi-aspect image generation.