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...
| Veröffentlicht in: | 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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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
| Schlagworte: | Journal Article |
| Online verfügbar |
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