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We present a fully automatic system that takes a 3D scene and generates plausible 3D human bodies that are posed naturally in that 3D scene.
Statistical methods for tomographic image reconstruction
Stuart Geman and Donald E. McClure · 1987
Earlier work this paper cites.
Contextual priming for object detection
Antonio Torralba · 2003
Earlier work this paper cites.
Applications of affordance and semantics in product design
Hsiao-chen You and Kuohsiang Chen · 2007
Earlier work this paper cites.
ImageNet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
Earlier work this paper cites.
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Earlier work this paper cites.
Scene semantics from long-term observation of people
Vincent Delaitre, David F Fouhey, Ivan Laptev, Josef Sivic, Abhinav Gupta, and Alexei A Efros · 2012
Earlier work this paper cites.
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Hema Swetha Koppula, Rudhir Gupta, and Ashutosh Saxena · 2013
Earlier work this paper cites.
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Andrew L Maas, Awni Y Hannun, and Andrew Y Ng · 2013
Earlier work this paper cites.
The ecological approach to visual perception: classic edition
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Earlier work this paper cites.
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Vladimir G Kim, Siddhartha Chaudhuri, Leonidas Guibas, and Thomas Funkhouser · 2014
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Diederick P Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
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Earlier work this paper cites.
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Samuel R Bowman, Luke Vilnis, Oriol Vinyals, Andrew M Dai, Rafal Jozefowicz, and Samy Bengio · 2016
Earlier work this paper cites.
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Fei Xia, Amir R. Zamir, Zhi-Yang He, Alexander Sax, Jitendra Malik, and Silvio Savarese · 2018
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Learning to sit: Synthesizing human-chair interactions via hierarchical control
Yu-Wei Chao, Jimei Yang, Weifeng Chen, and Jia Deng · 2019
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Physically-based rendering for indoor scene understanding using convolutional neural networks
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On the continuity of rotation representations in neural networks
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Human synthesis and scene compositing
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