Semi-Supervised StyleGAN for Disentanglement LearningDownload PDFOpen Website

2020 (modified: 13 Oct 2021)ICML 2020Readers: Everyone
Abstract: Disentanglement learning is crucial for obtaining disentangled representations and controllable generation. Current disentanglement methods face several inherent limitations: difficulty with high-r...
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