Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment

Training a generative adversarial network (GAN) with limited data has been a challenging task. A feasible solution is to start with a GAN well-trained on a large scale source domain and adapt it to the target domain with a few samples, termed as few shot generative model adaption. However, existing...

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Vydané v:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) s. 11194 - 11203
Hlavní autori:	Xiao, Jiayu, Li, Liang, Wang, Chaofei, Zha, Zheng-Jun, Huang, Qingming
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.06.2022
Predmet:	Adaptation models Codes Computational modeling Computer vision Correlation Image and video synthesis and generation; Transfer/low-shot/long-tail learning Image coding Training
ISSN:	1063-6919
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