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This paper presents a 3D generative model that uses diffusion models to automatically generate 3D digital avatars represented as neural radiance fields.
Optical models for direct volume rendering
Nelson Max · 1995
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
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Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2020
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Fourier features let networks learn high frequency functions in low dimensional domains
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Nvae: A deep hierarchical variational autoencoder
Arash Vahdat and Jan Kautz · 2020
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Generative adversarial network: An overview of theory and applications
Alankrita Aggarwal, Mamta Mittal, and Gopi Battineni · 2021
Earlier work this paper cites.
Sam Bond-Taylor, Adam Leach, Yang Long, and Chris G Willcocks · 2021
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pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis
Eric R Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein · 2021
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Diffusion models beat gans on image synthesis
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