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We propose TRAM, a two-stage method to reconstruct a human's global trajectory and motion from in-the-wild videos.
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Cadena, C., Carlone, L., Carrillo, H., Latif, Y., Scaramuzza, D., Neira, J., Reid, I., Leonard, J.J.: Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age. IEEE Transactions on robotics 32
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Mur-Artal, R., Tardós, J.D.: Orb-slam2: An open-source slam system for monocular, stereo, and rgb-d cameras. IEEE transactions on robotics 33
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Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł., Polosukhin, I.: Attention is all you need. Advances in neural information processing systems 30
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Kanazawa, A., Black, M.J., Jacobs, D.W., Malik, J.: End-to-end recovery of human shape and pose. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 7122–7131 (2018)
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Omran, M., Lassner, C., Pons-Moll, G., Gehler, P., Schiele, B.: Neural body fitting: Unifying deep learning and model based human pose and shape estimation. In: 2018 international conference on 3D vision (3DV). pp. 484–494. IEEE (2018)
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Peng, X.B., Kanazawa, A., Malik, J., Abbeel, P., Levine, S.: Sfv: Reinforcement learning of physical skills from videos. ACM Transactions On Graphics (TOG) 37
2018
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Von Marcard, T., Henschel, R., Black, M.J., Rosenhahn, B., Pons-Moll, G.: Recovering accurate 3d human pose in the wild using imus and a moving camera. In: Proceedings of the European conference on computer vision (ECCV). pp. 601–617 (2018)
2018
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Arnab, A., Doersch, C., Zisserman, A.: Exploiting temporal context for 3d human pose estimation in the wild. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 3395–3404 (2019)
2019
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Dong, J., Jiang, W., Huang, Q., Bao, H., Zhou, X.: Fast and robust multi-person 3d pose estimation from multiple views. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 7792–7801 (2019)
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Kanazawa, A., Zhang, J.Y., Felsen, P., Malik, J.: Learning 3d human dynamics from video. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 5614–5623 (2019)
2019
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Kolotouros, N., Pavlakos, G., Black, M.J., Daniilidis, K.: Learning to reconstruct 3d human pose and shape via model-fitting in the loop. In: Proceedings of the IEEE/CVF international conference on computer vision. pp. 2252–2261 (2019)
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Kolotouros, N., Pavlakos, G., Daniilidis, K.: Convolutional mesh regression for single-image human shape reconstruction. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4501–4510 (2019)
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Mahmood, N., Ghorbani, N., Troje, N.F., Pons-Moll, G., Black, M.J.: Amass: Archive of motion capture as surface shapes. In: Proceedings of the IEEE/CVF international conference on computer vision. pp. 5442–5451 (2019)
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Pavlakos, G., Choutas, V., Ghorbani, N., Bolkart, T., Osman, A.A., Tzionas, D., Black, M.J.: Expressive body capture: 3d hands, face, and body from a single image. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 10975–10985 (2019)
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Xiang, D., Joo, H., Sheikh, Y.: Monocular total capture: Posing face, body, and hands in the wild. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 10965–10974 (2019)
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Choi, H., Moon, G., Lee, K.M.: Pose2mesh: Graph convolutional network for 3d human pose and mesh recovery from a 2d human pose. In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VII 16. pp. 769–787. Springer (2020)
2020
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2020
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Jiang, W., Kolotouros, N., Pavlakos, G., Zhou, X., Daniilidis, K.: Coherent reconstruction of multiple humans from a single image. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 5579–5588 (2020)
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Kocabas, M., Athanasiou, N., Black, M.J.: Vibe: Video inference for human body pose and shape estimation. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 5253–5263 (2020)
2020
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Li, Z., Wallace, E., Shen, S., Lin, K., Keutzer, K., Klein, D., Gonzalez, J.: Train big, then compress: Rethinking model size for efficient training and inference of transformers. In: International Conference on machine learning. pp. 5958–5968. PMLR (2020)
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Luo, Z., Golestaneh, S.A., Kitani, K.M.: 3d human motion estimation via motion compression and refinement. In: Proceedings of the Asian Conference on Computer Vision (2020)
2020
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Moon, G., Lee, K.M.: I2l-meshnet: Image-to-lixel prediction network for accurate 3d human pose and mesh estimation from a single rgb image. In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VII 16. pp. 752–768. Springer (2020)
2020
Cited alongside, same era.
2020
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Song, J., Chen, X., Hilliges, O.: Human body model fitting by learned gradient descent. In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XX 16. pp. 744–760. Springer (2020)
2020
Cited alongside, same era.
Xu, H., Bazavan, E.G., Zanfir, A., Freeman, W.T., Sukthankar, R., Sminchisescu, C.: Ghum & ghuml: Generative 3d human shape and articulated pose models. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 6184–6193 (2020)
Pavlakos, G., Malik, J., Kanazawa, A.: Human mesh recovery from multiple shots. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 1485–1495 (2022)
2022
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Pavlakos, G., Weber, E., Tancik, M., Kanazawa, A.: The one where they reconstructed 3d humans and environments in tv shows. In: European Conference on Computer Vision. pp. 732–749. Springer (2022)
2022
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2022
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Sun, Y., Liu, W., Bao, Q., Fu, Y., Mei, T., Black, M.J.: Putting people in their place: Monocular regression of 3d people in depth. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 13243–13252 (2022)
2022
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2020
Cited alongside, same era.
Easymocap - make human motion capture easier. Github (2021), https://github.com/zju3dv/EasyMocap
2021
Cited alongside, same era.
Arnab, A., Dehghani, M., Heigold, G., Sun, C., Lučić, M., Schmid, C.: Vivit: A video vision transformer. In: Proceedings of the IEEE/CVF international conference on computer vision. pp. 6836–6846 (2021)
2021
Cited alongside, same era.
Choi, H., Moon, G., Chang, J.Y., Lee, K.M.: Beyond static features for temporally consistent 3d human pose and shape from a video. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 1964–1973 (2021)
2021
Cited alongside, same era.
Guzov, V., Mir, A., Sattler, T., Pons-Moll, G.: Human poseitioning system (hps): 3d human pose estimation and self-localization in large scenes from body-mounted sensors. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 4318–4329 (2021)
2021
Cited alongside, same era.
Joo, H., Neverova, N., Vedaldi, A.: Exemplar fine-tuning for 3d human model fitting towards in-the-wild 3d human pose estimation. In: 2021 International Conference on 3D Vision (3DV). pp. 42–52. IEEE (2021)
2021
Cited alongside, same era.
Kocabas, M., Huang, C.H.P., Hilliges, O., Black, M.J.: Pare: Part attention regressor for 3d human body estimation. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 11127–11137 (2021)
2021
Cited alongside, same era.
Li, J., Xu, C., Chen, Z., Bian, S., Yang, L., Lu, C.: Hybrik: A hybrid analytical-neural inverse kinematics solution for 3d human pose and shape estimation. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 3383–3393 (2021)
2021
Cited alongside, same era.
Lin, K., Wang, L., Liu, Z.: End-to-end human pose and mesh reconstruction with transformers. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 1954–1963 (2021)
2021
Cited alongside, same era.
Wei, W.L., Lin, J.C., Liu, T.L., Liao, H.Y.M.: Capturing humans in motion: Temporal-attentive 3d human pose and shape estimation from monocular video. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 13211–13220 (2022)
2022
Later among the works it cites.
Xu, Y., Zhang, J., Zhang, Q., Tao, D.: Vitpose: Simple vision transformer baselines for human pose estimation. Advances in Neural Information Processing Systems 35
2022
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Yuan, Y., Iqbal, U., Molchanov, P., Kitani, K., Kautz, J.: Glamr: Global occlusion-aware human mesh recovery with dynamic cameras. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. pp. 11038–11049 (2022)
2022
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Zhai, X., Kolesnikov, A., Houlsby, N., Beyer, L.: Scaling vision transformers. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 12104–12113 (2022)
2022
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Zhang, S., Ma, Q., Zhang, Y., Qian, Z., Kwon, T., Pollefeys, M., Bogo, F., Tang, S.: Egobody: Human body shape and motion of interacting people from head-mounted devices. In: European Conference on Computer Vision. pp. 180–200. Springer (2022)
2022
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2023
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Black, M.J., Patel, P., Tesch, J., Yang, J.: Bedlam: A synthetic dataset of bodies exhibiting detailed lifelike animated motion. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 8726–8737 (2023)
2023
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Dehghani, M., Djolonga, J., Mustafa, B., Padlewski, P., Heek, J., Gilmer, J., Steiner, A.P., Caron, M., Geirhos, R., Alabdulmohsin, I., et al.: Scaling vision transformers to 22 billion parameters. In: International Conference on Machine Learning. pp. 7480–7512. PMLR (2023)
2023
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2023
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Henning, D.F., Choi, C., Schaefer, S., Leutenegger, S.: Bodyslam++: Fast and tightly-coupled visual-inertial camera and human motion tracking. In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). pp. 3781–3788. IEEE (2023)
2023
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Kaufmann, M., Song, J., Guo, C., Shen, K., Jiang, T., Tang, C., Zárate, J.J., Hilliges, O.: Emdb: The electromagnetic database of global 3d human pose and shape in the wild. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 14632–14643 (2023)
2023
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2023
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2023
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2023
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Rempe, D., Luo, Z., Bin Peng, X., Yuan, Y., Kitani, K., Kreis, K., Fidler, S., Litany, O.: Trace and pace: Controllable pedestrian animation via guided trajectory diffusion. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 13756–13766 (2023)
2023
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Saini, N., Huang, C.H.P., Black, M.J., Ahmad, A.: Smartmocap: Joint estimation of human and camera motion using uncalibrated rgb cameras. IEEE Robotics and Automation Letters (2023)
2023
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Shen, X., Yang, Z., Wang, X., Ma, J., Zhou, C., Yang, Y.: Global-to-local modeling for video-based 3d human pose and shape estimation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 8887–8896 (2023)
2023
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2023
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Sun, Y., Bao, Q., Liu, W., Mei, T., Black, M.J.: Trace: 5d temporal regression of avatars with dynamic cameras in 3d environments. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 8856–8866 (2023)
2023
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Wang, C.Y., Bochkovskiy, A., Liao, H.Y.M.: Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 7464–7475 (2023)
2023
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Wang, J., Luvizon, D., Xu, W., Liu, L., Sarkar, K., Theobalt, C.: Scene-aware egocentric 3d human pose estimation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 13031–13040 (2023)
2023
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Wang, Y., Daniilidis, K.: Refit: Recurrent fitting network for 3d human recovery. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 14644–14654 (2023)
2023
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Ye, V., Pavlakos, G., Malik, J., Kanazawa, A.: Decoupling human and camera motion from videos in the wild. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 21222–21232 (2023)
2023
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2023
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2024
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2024
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2024
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Ugrinovic, N., Pan, B., Pavlakos, G., Paschalidou, D., Shen, B., Sanchez-Riera, J., Moreno-Noguer, F., Guibas, L.: Multiphys: Multi-person physics-aware 3d motion estimation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 2331–2340 (2024)
2024
Closest in time.