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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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Wiley
2026-02-01
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| Серія: | CAAI Transactions on Intelligence Technology |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1049/cit2.70088 |
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