CLIP2StyleGAN: Unsupervised Extraction of StyleGAN Edit Directions

The success of StyleGAN has enabled unprecedented semantic editing capabilities, on both synthesized and real images. However, such editing operations are either trained with semantic supervision or described using human guidance. In another development, the CLIP architecture has been trained with i...

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Hauptverfasser:	Abdal, Rameen, Zhu, Peihao, Femiani, John, Mitra, Niloy J, Wonka, Peter
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Graphics
Online-Zugang:	Volltext bestellen
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