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style-aligned

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alessioborgi / Z-SAMB_StyleAligned_MultiReference-MultiModal

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Novel framework for Zero-Shot Style Alignment in Text-to-Image generation, incorporating Multi-Modal Context-Awareness and Multi-Reference Style Alignment, using minimal attention sharing, ensuring consistent style transfer without fine-tuning.

multi-modal whisper clap context-awareness zero-shot-learning blip adain multi-style-transfer text-to-image-generation shared-attention-heads style-aligned no-fine-tuning
  • Updated Apr 3, 2025
  • Jupyter Notebook

alessioborgi / Z-SASLM

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Accepted at the CVPR 2025 Workshop on AI for Creative Visual Content Generation, Editing and Understanding and published in the Official CVPR Workshop Procedings. Z-SASLM is a zero-shot framework for multi-style image synthesis leveraging Spherical Linear Interpolation (SLI) to achieve smooth, coherent blending—without any fine-tuning.

content ai workshop interpolation models visual linear generation manipulation creative diffusion zero-shot-learning latent blending spherical style-aligned dino-vit cvpr2025 z-saslm
  • Updated Apr 4, 2025
  • Jupyter Notebook

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