Keep and Extent : Unified Knowledge Embedding for Few-Shot Image Generation
Training Generative Adversarial Networks (GANs) with few-shot data has been a challenging task, which is prevalently solved by adapting a deep generative model pre-trained on the large-scale data in a source domain to small target domains with limited training data. In practice, most of the existing...
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 34(2025) vom: 25., Seite 2315-2324 |
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| Auteur principal: | |
| Autres auteurs: | , |
| Format: | Article en ligne |
| Langue: | English |
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2025
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
| Sujets: | Journal Article |
| Accès en ligne |
Volltext |