LatRef-Diff replaces semantic directions in diffusion models with latent and reference-guided style codes, uses a hierarchical style modulation module, and applies forward-backward consistency training to achieve state-of-the-art facial attribute editing and style manipulation on CelebA-HQ.
Diffusion autoencoders: Toward a meaningful and decodable represen- tation,
2 Pith papers cite this work. Polarity classification is still indexing.
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DiffMagicFace uses concurrent fine-tuned text and image diffusion models plus a rendered multi-view dataset to achieve identity-consistent text-conditioned editing of real facial videos.
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LatRef-Diff: Latent and Reference-Guided Diffusion for Facial Attribute Editing and Style Manipulation
LatRef-Diff replaces semantic directions in diffusion models with latent and reference-guided style codes, uses a hierarchical style modulation module, and applies forward-backward consistency training to achieve state-of-the-art facial attribute editing and style manipulation on CelebA-HQ.
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DiffMagicFace: Identity Consistent Facial Editing of Real Videos
DiffMagicFace uses concurrent fine-tuned text and image diffusion models plus a rendered multi-view dataset to achieve identity-consistent text-conditioned editing of real facial videos.