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Disentangling the latent space of GANs for semantic face editing
Disentanglement research is a critical and important issue in the field of image editing. In order to perform disentangled editing on images generated by generative models, this paper presents an unsupervised, model-agnostic, two-stage trained editing framework. This work addresses the problem of di...
Autores principales: | Niu, Yongjie, Zhou, Mingquan, Li, Zhan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602338/ https://www.ncbi.nlm.nih.gov/pubmed/37883462 http://dx.doi.org/10.1371/journal.pone.0293496 |
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