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Mar, 2022
PetsGAN:重新思考单张图像生成的先验
PetsGAN: Rethinking Priors for Single Image Generation
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Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo...
TL;DR
通过引入正则化的潜在变量模型并设计基于先验的端到端训练GAN(PetsGAN),本文改进了SinGAN解决其可生成性和训练时间方面的限制问题,丰富的实验结果证明了方法在图像质量、多样性和训练速度上的优越性。
Abstract
single image generation
(SIG), described as generating diverse samples that have similar visual content with the given single image, is first introduced by SinGAN which builds a pyramid of
gans
to progressively l
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