Efficient Geometry-aware 3D Generative Adversarial Networks

Unsupervised generation of high-quality multi-view-consistent images and 3D shapes using only collections of single-view 2D photographs has been a long-standing challenge. Existing 3D GANs are either compute intensive or make approximations that are not 3D-consistent; the former limits quality and r...

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Bibliographic Details
Main Authors: Chan, Eric R., Lin, Connor Z., Chan, Matthew A., Nagano, Koki, Pan, Boxiao, de Mello, Shalini, Gallo, Orazio, Guibas, Leonidas, Tremblay, Jonathan, Khamis, Sameh, Karras, Tero, Wetzstein, Gordon
Format: Conference Proceeding
Language:English
Subjects:
Image synthesis
Network architecture
Rapid prototyping
Rendering (computer graphics)
Representation learning
Face and gestures
Vision + graphics
Shape
Solid modeling
Three-dimensional displays
Online Access:Request full text
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