Efficient Geometry-aware 3D Generative Adversarial Networks

Author:

Chan Eric R.1,Lin Connor Z.1,Chan Matthew A.1,Nagano Koki2,Pan Boxiao1,de Mello Shalini2,Gallo Orazio2,Guibas Leonidas1,Tremblay Jonathan2,Khamis Sameh2,Karras Tero2,Wetzstein Gordon1

Affiliation:

1. Stanford University

2. NVIDIA

Publisher

IEEE

Reference74 articles.

1. CIPS-3D: A 3D- Aware Generator of GANs Based on Conditionally-Independent Pixel Synthesis;zhou;ArXiv Preprint,2021

2. Nerf++: Analyzing and improving neural radiance fields;zhang;ArXiv Preprint,2020

3. PlenOctrees for Real-time Rendering of Neural Radiance Fields

4. Multiview neural surface reconstruction by disentangling geometry and appearance;yariv;Advances in Neural IInformation Processing Systems,0

5. Visual object networks: Image generation with disentangled 3D representations;zhu;Advances in Neural IInformation Processing Systems,0

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