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What You See is What You GAN: Rendering Every Pixel for High-Fidelity Geometry in 3D GANs

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Trevithick, Alex, Chan, Matthew, Takikawa, Towaki, Iqbal, Umar, De Mello, Shalini, Chandraker, Manmohan, Ramamoorthi, Ravi, Nagano, Koki
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence Graphics Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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