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In this paper we present, to the best of our knowledge, the first method to learn a generative model of 3D shapes from natural images in a fully unsupervised way.
The intelligent eye
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Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
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Neural 3d mesh renderer
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Anurag Ranjan, Timo Bolkart, Soubhik Sanyal, and Michael J. Black · 2018
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Understanding degeneracies and ambiguities in attribute transfer
Attila Szabó, Qiyang Hu, Tiziano Portenier, Matthias Zwicker, and Paolo Favaro · 2018
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Ganfit: Generative adversarial network fitting for high fidelity 3d face reconstruction
Baris Gecer, Stylianos Ploumpis, Irene Kotsia, and Stefanos Zafeiriou · 2019
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3d guided fine-grained face manipulation
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