Fetching the paper…
Reading the bibliography…
We develop a technique for generating smooth and accurate 3D human pose and motion estimates from RGB video sequences.
Learning and tracking cyclic human motion
Ormoneit, D., Sidenbladh, H., Black, M.J., Hastie, T.: · 2001
Earlier work this paper cites.
Inferring 3D structure with a statistical image-based shape model
Grauman, K., Shakhnarovich, G., Darrell, T.: · 2003
Earlier work this paper cites.
SCAPE: Shape Completion and Animation of People
Anguelov, D., Srinivasan, P., Koller, D., Thrun, S., Rodgers, J., Davis, J.: · 2005
Earlier work this paper cites.
A data-driven approach to quantifying natural human motion
Ren, L., Patrick, A., Efros, A.A., Hodgins, J.K., Rehg, J.M.: · 2005
Earlier work this paper cites.
Recovering 3D human pose from monocular images
Agarwal, A., Triggs, B.: · 2006
Earlier work this paper cites.
3D people tracking with Gaussian process dynamical models
Urtasun, R., Fleet, D.J., Fua, P.: · 2006
Earlier work this paper cites.
Combined discriminative and generative articulated pose and non-rigid shape estimation
Sigal, L., Balan, A., Black, M.J.: · 2009
Earlier work this paper cites.
Estimating human shape and pose from a single image
Peng Guan, Weiss, A., Bãlan, A.O., Black, M.J.: · 2009
Earlier work this paper cites.
Parametric reshaping of human bodies in images
Zhou, S., Fu, H., Liu, L., Cohen-Or, D., Han, X.: · 2010
Earlier work this paper cites.
From actemes to action: A strongly-supervised representation for detailed action understanding
Zhang, W., Zhu, M., Derpanis, K.G.: · 2013
Earlier work this paper cites.
Auto-encoding variational bayes
Kingma, D.P., Welling, M.: · 2014
Earlier work this paper cites.
Human3.6M: Large scale datasets and predictive methods for 3D human sensing in natural environments
Ionescu, C., Papava, D., Olaru, V., Sminchisescu, C.: · 2014
Earlier work this paper cites.
MoSh: Motion and shape capture from sparse markers
Loper, M., Mahmoody, N., Blackz, M.J.: · 2014
Earlier work this paper cites.
Smpl: a skinned multi-person linear model
Loper, M., Mahmood, N., Romero, J., Pons-Moll, G., Black, M.J.: · 2015
Earlier work this paper cites.
Recurrent network models for human dynamics
Fragkiadaki, K., Levine, S., Felsen, P., Malik, J.: · 2015
Earlier work this paper cites.
Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image
Bogo, F., Kanazawa, A., Lassner, C., Gehler, P., Romero, J., Black, M.J.: · 2016
Earlier work this paper cites.
Indirect deep structured learning for 3D human body shape and pose prediction
Tan, J.K.V., Budvytis, I., Cipolla, R.: · 2017
Earlier work this paper cites.
Self-supervised learning of motion capture
Tung, H.Y.F., Tung, H.W., Yumer, E., Fragkiadaki, K.: · 2017
Earlier work this paper cites.
VNect Real-time 3D Human Pose Estimation with a Single RGB Camera ACM Reference format VNect Real-time 3D Human Po.pdf
Mehta, D., Sridhar, S., Sotnychenko, O., Rhodin, H., Shafiei, M.M.h.M.M.h.M.M.h., Seidel, H.p., Casas, D., Theobalt, C., Shafiei, M.M.h.M.M.h.M.M.h., Seidel, H.p., Xu, W.: · 2017
Earlier work this paper cites.
The pose knows: Video forecasting by generating pose futures
Walker, J., Marino, K., Gupta, A., Hebert, M.: · 2017
Cited alongside, same era.
Deep representation learning for human motion prediction and classification
Butepage, J., Black, M.J., Kragic, D., Kjellstrom, H.: · 2017
Cited alongside, same era.
The Pose Knows: Video Forecasting by Generating Pose Futures
Walker, J., Marino, K., Gupta, A., Hebert, M.: · 2017
Cited alongside, same era.
Monocular 3d human pose estimation in the wild using improved cnn supervision
Mehta, D., Rhodin, H., Casas, D., Fua, P., Sotnychenko, O., Xu, W., Theobalt, C.: · 2017
Cited alongside, same era.
Realtime multi-person 2d pose estimation using part affinity fields
Cao, Z., Simon, T., Wei, S.E., Sheikh, Y.: · 2017
Cited alongside, same era.
Towards accurate marker-less human shape and pose estimation over time
Huang, Y.: · 2017
Learning to reconstruct 3d human pose and shape via model-fitting in the loop
Kolotouros, N., Pavlakos, G., Black, M.J., Daniilidis, K.: · 2019
Later among the works it cites.
Denserac: Joint 3d pose and shape estimation by dense render-and-compare
Xu, Y., Zhu, S.C., Tung, T.: · 2019
Later among the works it cites.
Learning 3d human dynamics from video
Kanazawa, A., Zhang, J.Y., Felsen, P., Malik, J.: · 2019
Later among the works it cites.
Amass: Archive of motion capture as surface shapes
Mahmood, N., Ghorbani, N., Troje, N.F., Pons-Moll, G., Black, M.J.: · 2019
Later among the works it cites.
Expressive body capture: 3d hands, face, and body from a single image
Pavlakos, G., Choutas, V., Ghorbani, N., Bolkart, T., Osman, A.A.A., Tzionas, D., Black, M.J.: · 2019
Later among the works it cites.
Holopose: Holistic 3D human reconstruction in-the-wild
Guler, R.A., Kokkinos, I.: · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Densepose: Dense human pose estimation in the wild
Güler, R.A., Neverova, N., Kokkinos, I.: · 2018
Cited alongside, same era.
End-to-end recovery of human shape and pose
Kanazawa, A., Black, M.J., Jacobs, D.W., Malik, J.: · 2018
Cited alongside, same era.
Exploiting temporal information for 3d human pose estimation
Hossain, M.R.I., Little, J.: · 2018
Cited alongside, same era.
Recovering accurate 3D human pose in the wild using IMUs and a moving camera
von Marcard, T., Henschel, R., Black, M.J., Rosenhahn, B., Pons-Moll, G.: · 2018
Cited alongside, same era.
Neural body fitting: Unifying deep learning and model based human pose and shape estimation
Omran, M., Lassner, C., Pons-Moll, G., Gehler, P., Schiele, B.: · 2018
Cited alongside, same era.
Learning to Estimate 3D Human Pose and Shape from a Single Color Image
Pavlakos, G., Zhu, L., Zhou, X., Daniilidis, K.: · 2018
Cited alongside, same era.
Later among the works it cites.
3D human pose estimation in video with temporal convolutions and semi-supervised training
Pavllo, D., Feichtenhofer, C., Grangier, D., Auli, M.: · 2019
Later among the works it cites.
Language2pose: Natural language grounded pose forecasting
Ahuja, C., Morency, L.P.: · 2019
Later among the works it cites.
Dancing to music
Lee, H.Y., Yang, X., Liu, M.Y., Wang, T.C., Lu, Y.D., Yang, M.H., Kautz, J.: · 2019
Later among the works it cites.
On the continuity of rotation representations in neural networks
Zhou, Y., Barnes, C., Lu, J., Yang, J., Li, H.: · 2019
Later among the works it cites.
Vibe: Video inference for human body pose and shape estimation
Kocabas, M., Athanasiou, N., Black, M.J.: · 2020
Closest in time.
Hierarchical kinematic human mesh recovery
Georgakis, G.V., Li, R., Karanam, S., Chen, T., Kosecka, J., Wu, Z.: · 2020
Closest in time.
Deep kinematics analysis for monocular 3d human pose estimation
Xu, J., Yu, Z., Ni, B., Yang, J., Yang, X., Zhang, W.: · 2020
Closest in time.
Xnect: Real-time multi-person 3d motion capture with a single rgb camera
Mehta, D., Sotnychenko, O., Mueller, F., Xu, W., Elgharib, M.A., Fua, P., Seidel, H.P., Rhodin, H., Pons-Moll, G., Theobalt, C.: · 2020
Closest in time.
Learning diverse stochastic human-action generators by learning smooth latent transitions
Wang, Z., Yu, P., Zhao, Y., Zhang, R., Zhou, Y., Yuan, J., Chen, C.: · 2020
Closest in time.
Diverse trajectory forecasting with determinantal point processes
Yuan, Y., Kitani, K.: · 2020
Closest in time.
Dlow: Diversifying latent flows for diverse human motion prediction
Yuan, Y., Kitani, K.M.: · 2020
Closest in time.
Learning diverse stochastic human-action generators by learning smooth latent transitions
Wang, Z., Yu, P., Zhao, Y., Zhang, R., Zhou, Y., Yuan, J., Chen, C.: · 2020
Closest in time.