Towards Interpretable Face Morphing via Unsupervised Learning of Layer‐Wise and Local Features

ABSTRACT Discovering meaningful face morphing is critical for applications in image synthesis. Traditional unsupervised methods rely on global or layer‐wise representations, neglecting finer local details and thus limiting the control over specific facial attributes. In this work, we introduce an im...

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Podrobná bibliografie

Hlavní autoři:	Cheng Yu, Chuan Chen, Wenmin Wang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2026-02-01
Edice:	CAAI Transactions on Intelligence Technology
Témata:	computer vision generative adversarial network neural network
On-line přístup:	https://doi.org/10.1049/cit2.70088
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