High-fidelity 3D GAN Inversion by Pseudo-multi-view Optimization

We present a high-fidelity 3D generative adversarial network (GAN) inversion framework that can synthesize photo-realistic novel views while preserving specific details of the input image. High-fidelity 3D GAN inversion is inherently challenging due to the geometry-texture trade-off in 3D inversion,...

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Bibliographische Detailangaben

Hauptverfasser:	Xie, Jiaxin, Ouyang, Hao, Piao, Jingtan, Lei, Chenyang, Chen, Qifeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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