Orthogonal subspace decomposition via SVD on vision foundation model features preserves high-rank pre-trained knowledge by freezing principal components and adapting residuals, reducing overfitting for better generalization in AI-generated image detection.
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ID-ControlNet conditions latent diffusion models on facial identity embeddings and uses consistency losses to improve identity preservation in face inpainting.
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Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
Orthogonal subspace decomposition via SVD on vision foundation model features preserves high-rank pre-trained knowledge by freezing principal components and adapting residuals, reducing overfitting for better generalization in AI-generated image detection.
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Face inpainting with Identity Preserving Latent Diffusion Models
ID-ControlNet conditions latent diffusion models on facial identity embeddings and uses consistency losses to improve identity preservation in face inpainting.