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We present a method for learning a generative 3D model based on neural radiance fields, trained solely from data with only single views of each object.
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
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Demystifying mmd gans
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Optimizing the Latent Space of Generative Networks
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Morphable face models-an open framework
Thomas Gerig, Andreas Morel-Forster, Clemens Blumer, Bernhard Egger, Marcel Luthi, Sandro Schönborn, and Thomas Vetter · 2018
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Practical dynamic facial appearance modeling and acquisition
Paulo Gotardo, Jérémy Riviere, Derek Bradley, Abhijeet Ghosh, and Thabo Beeler · 2018
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Progressive Growing of GANs for Improved Quality, Stability, and Variation
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Glow: Generative Flow with Invertible 1x1 Convolutions
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Unsupervised Depth Estimation, 3D Face Rotation and Replacement
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Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
Jonathan Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, and Pratul Srinivasan · 2021
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Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction
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Dynamic View Synthesis from Dynamic Monocular Video
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Hologan: Unsupervised learning of 3d representations from natural images
Thu Nguyen-Phuoc, Chuan Li, Lucas Theis, Christian Richardt, and Yong-Liang Yang · 2019
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DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
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GLOSS: Generative latent optimization of sentence representations
Sidak Pal Singh, Angela Fan, and Michael Auli · 2019
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Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann, Michael Zollhöfer, and Gordon Wetzstein · 2019
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CodeNeRF: Disentangled Neural Radiance Fields for Object Categories
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BARF: Bundle-Adjusting Neural Radiance Fields
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NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
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Hypernerf: A higher-dimensional representation for topologically varying neural radiance fields
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https://3dmd.com/products/
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GRF: Learning a General Radiance Field for 3D Scene Representation and Rendering
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NeRF–: Neural Radiance Fields Without Known Camera Parameters
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FiG-NeRF: Figure-ground neural radiance fields for 3d object category modelling
Christopher Xie, Keunhong Park, Ricardo Martin-Brualla, and Matthew Brown · 2021
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pixelNeRF: Neural Radiance Fields from One or Few Images
Alex Yu, Vickie Ye, Matthew Tancik, and Angjoo Kanazawa · 2021
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