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While deep learning reshaped the classical motion capture pipeline with feed-forward networks, generative models are required to recover fine alignment via iterative refinement.
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H. Rhodin, N. Robertini, C. Richardt, H.-P. Seidel, and C. Theobalt · 2015
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H. Rhodin, N. Robertini, D. Casas, C. Richardt, H.-P. Seidel, and C. Theobalt · 2016
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Monocular 3d human pose estimation in the wild using improved cnn supervision
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S. Lombardi, J. Saragih, T. Simon, and Y. Sheikh · 2018
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C. Luo, X. Chu, and A. L. Yuille · 2018
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M. Omran, C. Lassner, G. Pons-Moll, P. Gehler, and B. Schiele · 2018
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G. Pavlakos, L. Zhu, X. Zhou, and K. Daniilidis · 2018
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Monocular total capture: Posing face, body, and hands in the wild
D. Xiang, H. Joo, and Y. Sheikh · 2019
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Three-d safari: Learning to estimate zebra pose, shape, and texture from images "in the wild"
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Monocular expressive body regression through body-driven attention
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Motion capture from internet videos
J. Dong, Q. Shuai, Y. Zhang, X. Liu, X. Zhou, and H. Bao · 2020
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ARCH: animatable reconstruction of clothed humans
Z. Huang, Y. Xu, C. Lassner, H. Li, and T. Tung · 2020
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Vibe: Video inference for human body pose and shape estimation
M. Kocabas, N. Athanasiou, and M. J. Black · 2020
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Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation
H. Rhodin, M. Salzmann, and P. Fua · 2018
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Monoperfcap: Human performance capture from monocular video
W. Xu, A. Chatterjee, M. Zollhöfer, H. Rhodin, D. Mehta, H.-P. Seidel, and C. Theobalt · 2018
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K.-A. Aliev, A. Sevastopolsky, M. Kolos, D. Ulyanov, and V. Lempitsky · 2019
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Openpose: Realtime multi-person 2d pose estimation using part affinity fields
Z. Cao, G. H. Martinez, T. Simon, S.-E. Wei, and Y. A. Sheikh · 2019
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Nasa: neural articulated shape approximation
B. Deng, J. Lewis, T. Jeruzalski, G. Pons-Moll, G. Hinton, M. Norouzi, and A. Tagliasacchi · 2019
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Holopose: Holistic 3d human reconstruction in-the-wild
R. A. Guler and I. Kokkinos · 2019
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Cascaded deep monocular 3d human pose estimation with evolutionary training data
S. Li, L. Ke, K. Pratama, Y.-W. Tai, C.-K. Tang, and K.-T. Cheng · 2020
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XNect: Real-time multi-person 3D motion capture with a single RGB camera
D. Mehta, O. Sotnychenko, F. Mueller, W. Xu, M. Elgharib, P. Fua, H.-P. Seidel, H. Rhodin, G. Pons-Moll, and C. Theobalt · 2020
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Nerf: Representing scenes as neural radiance fields for view synthesis
B. Mildenhall, P. P. Srinivasan, M. Tancik, J. T. Barron, R. Ramamoorthi, and R. Ng · 2020
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D-NeRF: Neural Radiance Fields for Dynamic Scenes
A. Pumarola, E. Corona, G. Pons-Moll, and F. Moreno-Noguer · 2020
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Motionet: 3d human motion reconstruction from monocular video with skeleton consistency
M. Shi, K. Aberman, A. Aristidou, T. Komura, D. Lischinski, D. Cohen-Or, and B. Chen · 2020
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Implicit neural representations with periodic activation functions
V. Sitzmann, J. Martel, A. Bergman, D. Lindell, and G. Wetzstein · 2020
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Fourier features let networks learn high frequency functions in low dimensional domains
M. Tancik, P. P. Srinivasan, B. Mildenhall, S. Fridovich-Keil, N. Raghavan, U. Singhal, R. Ramamoorthi, J. T. Barron, and R. Ng · 2020
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State of the Art on Neural Rendering
A. Tewari, O. Fried, J. Thies, V. Sitzmann, S. Lombardi, K. Sunkavalli, R. Martin-Brualla, T. Simon, J. Saragih, M. Nießner, R. Pandey, S. Fanello, G. Wetzstein, J.-Y. Zhu, C. Theobalt, M. Agrawala, E. Shechtman, D. B. Goldman, and M. Zollhöfer · 2020
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Synsin: End-to-end view synthesis from a single image
O. Wiles, G. Gkioxari, R. Szeliski, and J. Johnson · 2020
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Deep kinematics analysis for monocular 3d human pose estimation
J. Xu, Z. Yu, B. Ni, J. Yang, X. Yang, and W. Zhang · 2020
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inerf: Inverting neural radiance fields for pose estimation
L. Yen-Chen, P. Florence, J. T. Barron, A. Rodriguez, P. Isola, and T.-Y. Lin · 2020
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Dynamic neural radiance fields for monocular 4d facial avatar reconstruction
G. Gafni, J. Thies, M. Zollhöfer, and M. Nießner · 2021
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Dynamic view synthesis from dynamic monocular video
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Pulsar: Efficient sphere-based neural rendering
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NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections
R. Martin-Brualla, N. Radwan, M. S. M. Sajjadi, J. T. Barron, A. Dosovitskiy, and D. Duckworth · 2021
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