Rethinking cross-domain semantic relation for few-shot image generation

Training well-performing Generative Adversarial Networks (GANs) with limited data has always been challenging. Existing methods either require sufficient data (over 100 training images) for training or generate images of low quality and low diversity. To solve this problem, we propose a new Cross-do...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Netherlands), 2023-10, Vol.53 (19), p.22391-22404
Hauptverfasser:	Gou, Yao, Li, Min, Lv, Yilong, Zhang, Yusen, Xing, Yuhang, He, Yujie
Format:	Artikel
Sprache:	eng
Schlagworte:	Ablation Artificial Intelligence Computer Science Generative adversarial networks Image processing Image quality Machines Manufacturing Mechanical Engineering Processes Semantic relations Semantics Training
Online-Zugang:	Volltext
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