AINeutralarXiv – CS AI · Apr 136/10
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OmniPrism: Learning Disentangled Visual Concept for Image Generation
OmniPrism introduces a new visual concept disentanglement approach for AI image generation that separates multiple visual aspects (content, style, composition) to enable more controlled and creative outputs. The method uses a contrastive training pipeline and a new 200K paired dataset to train diffusion models that can incorporate disentangled concepts while maintaining fidelity to text prompts.