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We propose a recurrent neural network architecture with a Forward Kinematics layer and cycle consistency based adversarial training objective for unsupervised motion retargetting.
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Human3.6M: Large scale datasets and predictive methods for 3D human sensing in natural environments
C. Ionescu, D. Papava, V. Olaru, and C. Sminchisescu · 2014
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An invitation to imitation
J. A. D. Bagnell · 2015
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Kinodynamically consistent motion retargeting for humanoids
G. Bin Hammam, P. M. Wensing, B. Dariush, and D. E. Orin · 2015
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Recurrent network models for human dynamics
K. Fragkiadaki, S. Levine, P. Felsen, and J. Malik · 2015
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Realtime style transfer for unlabeled heterogeneous human motion
S. Xia, C. Wang, J. Chai, and J. Hodgins · 2015
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Blender - a 3D modelling and rendering package
Blender Online Community · 2017
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Deep representation learning for human motion prediction and classification
J. Bütepage, M. J. Black, D. Kragic, and H. Kjellström · 2017
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A compositional object-based approach to learning physical dynamics
M. B. Chang, T. Ullman, A. Torralba, and J. B. Tenenbaum · 2017
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Google’s multilingual neural machine translation system: Enabling zero-shot translation
M. Johnson, M. Schuster, Q. V. Le, M. Krikun, Y. Wu, Z. Chen, N. Thorat, F. Viégas, M. Wattenberg, G. Corrado, M. Hughes, and J. Dean · 2017
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Material editing using a physically based rendering network
G. Liu, D. Ceylan, E. Yumer, J. Yang, and J.-M. Lien · 2017
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On human motion prediction using recurrent neural networks
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Generative adversarial imitation learning
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A deep learning framework for character motion synthesis and editing
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Structural-rnn: Deep learning on spatio-temporal graphs
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Unsupervised learning of 3d structure from images
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Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision
X. Yan, J. Yang, E. Yumer, Y. Guo, and H. Lee · 2016
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Spectral style transfer for human motion between independent actions
M. E. Yumer and N. J. Mitra · 2016
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J. Martinez, M. J. Black, and J. Romero · 2017
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A simple yet effective baseline for 3d human pose
J. Martinez, R. Hossain, J. Romero, and J. J. Little · 2017
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Vnect: Real-time 3d human pose estimation with a single rgb camera
D. Mehta, S. Sridhar, O. Sotnychenko, H. Rhodin, M. Shafiei, H.-P. Seidel, W. Xu, D. Casas, and C. Theobalt · 2017
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Learning human behaviors from motion capture by adversarial imitation
J. Merel, Y. Tassa, S. Srinivasan, J. Lemmon, Z. Wang, G. Wayne, and N. Heess · 2017
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Time-contrastive networks: Self-supervised learning from multi-view observation
P. Sermanet, C. Lynch, J. Hsu, and S. Levine · 2017
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Multi-view supervision for single-view reconstruction via differentiable ray consistency
S. Tulsiani, T. Zhou, A. A. Efros, and J. Malik · 2017
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Learning to see physics via visual de-animation
J. Wu, E. Lu, P. Kohli, W. T. Freeman, and J. B. Tenenbaum · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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Auto-conditioned lstm network for extended complex human motion synthesis
Z. Li, Y. Zhou, S. Xiao, C. He, and H. Li · 2018
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