LSUN-Church
收藏DataCite Commons2026-01-07 更新2026-05-05 收录
下载链接:
https://service.tib.eu/ldmservice/dataset/827465f7-0485-417c-acc5-2654b21f57f4
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资源简介:
Progress in GANs has enabled the generation of high-res-olution photorealistic images of astonishing quality. StyleGANs allow for compelling attribute modification on such images via mathematical operations on the latent style vectors in the W/W+ space that effectively modulate the rich hierarchical representations of the generator.
提供机构:
TIB
创建时间:
2024-12-02



