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87719371 (github.io)
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title
description
Identity-Preserving talking head generation with fast personalized adaptation.
image
site name
author
updated
2026-02-03 08:33:05
raw text
MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation Bowen Zhang 1* , Chenyang Qi 2* , Pan Zhang 1 , Bo Zhang 3 , HsiangTao Wu 3 , Dong Chen 3 , Qifeng Chen 2 , Yong Wang 1 , Fang Wen 3 1 USTC, 2 HKUST, 3 Microsoft in CVPR 2023 Paper Code Our MetaPortrait yields identity-preserving talking head generation. Abstract In this work, we propose an ID-preserving talking head generation framework, which advances previous methods in two aspects. First, as opposed to interpolating from sparse flow, we claim that dense landmarks are crucial to achieving accurate geometry-aware flow fields. Second, inspired by face-swapping methods, we adaptively fuse the source identity during synthesis, so that the network better preserves the key characteristics of the image portrait. Although the propos...
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SEC and Crypto [en] (228)
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2026-02-03 08:33:05
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