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We address the problem of finding realistic geometric corrections to a foreground object such that it appears natural when composited into a background image.
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Deformable convolutional networks
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Generating videos with scene dynamics
C. Vondrick, H. Pirsiavash, and A. Torralba · 2016
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Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
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Semantic facial expression editing using autoencoded flow
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Energy-based generative adversarial network
J. Zhao, M. Mathieu, and Y. LeCun · 2016
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View synthesis by appearance flow
T. Zhou, S. Tulsiani, W. Sun, J. Malik, and A. A. Efros · 2016
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M.-Y. Liu, T. Breuel, and J. Kautz · 2017
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Semantic scene completion from a single depth image
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Physically-based rendering for indoor scene understanding using convolutional neural networks
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J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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