ReAge3D trains a diffusion re-aging model on synthetic pairs then uses masked propagation from a frontal pivot view to produce consistent multi-view images that supervise 3D face optimization.
arXiv preprint arXiv:2408.15922 , year=
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DiverAge is a hierarchical pluralistic face aging method that combines diffusion autoencoding with cross-age identity relation guidance to improve sequence-level reliability while preserving appearance diversity.
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ReAge3D: Re-Aging 3D Faces with View Consistency
ReAge3D trains a diffusion re-aging model on synthetic pairs then uses masked propagation from a frontal pivot view to produce consistent multi-view images that supervise 3D face optimization.
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DiverAge: Reliable Pluralistic Face Aging with Cross-Age Identity Relation Guidance
DiverAge is a hierarchical pluralistic face aging method that combines diffusion autoencoding with cross-age identity relation guidance to improve sequence-level reliability while preserving appearance diversity.