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Motion Capture Dataset for Practical Use of AI-based Motion Editing and Stylization
Published 15 Jun 2023 in cs.CV and cs.AI | (2306.08861v2)
Abstract: In this work, we proposed a new style-diverse dataset for the domain of motion style transfer. The motion dataset uses an industrial-standard human bone structure and thus is industry-ready to be plugged into 3D characters for many projects. We claim the challenges in motion style transfer and encourage future work in this domain by releasing the proposed motion dataset both to the public and the market. We conduct a comprehensive study on motion style transfer in the experiment using the state-of-the-art method, and the results show the proposed dataset's validity for the motion style transfer task.
- Unpaired motion style transfer from video to animation. ACM Transactions on Graphics (TOG) 39, 4 (2020), 64–1.
- Ijaz Akhter and Michael J. Black. 2015. Pose-conditioned joint angle limits for 3D human pose reconstruction. In 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1446–1455. https://doi.org/10.1109/CVPR.2015.7298751
- Emotion from Motion. In Proceedings of the Graphics Interface 1996 Conference, May 22-24, 1996, Toronto, Ontario, Canada. Canadian Human-Computer Communications Society, 222–229. http://graphicsinterface.org/wp-content/uploads/gi1996-26.pdf
- Inc. BandaiNamcoResearch. 2023. Mirai Komachi Official Page. https://www.miraikomachi.com/
- OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields. IEEE Transactions on Pattern Analysis and Machine Intelligence 43, 1 (2021), 172–186. https://doi.org/10.1109/TPAMI.2019.2929257
- A Virtual Reality Dance Training System Using Motion Capture Technology. IEEE Transactions on Learning Technologies 4, 2 (2011), 187–195. https://doi.org/10.1109/TLT.2010.27
- Graphics Lab CMU. 2000. CMU Graphics Lab Motion Capture Database. http://mocap.cs.cmu.edu/
- Gutemberg Guerra-Filho. 2005. Optical Motion Capture: Theory and Implementation. RITA 12 (2005), 61–90.
- Robust Motion In-Betweening. 39, 4 (2020).
- A Deep Learning Framework for Character Motion Synthesis and Editing. ACM Trans. Graph. 35, 4, Article 138 (jul 2016), 11Â pages. https://doi.org/10.1145/2897824.2925975
- Learning Motion Manifolds with Convolutional Autoencoders. In SIGGRAPH Asia 2015 Technical Briefs (Kobe, Japan) (SA ’15). Association for Computing Machinery, New York, NY, USA, Article 18, 4 pages. https://doi.org/10.1145/2820903.2820918
- Sleight of Hand: Perception of Finger Motion from Reduced Marker Sets. In Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (Costa Mesa, California) (I3D ’12). Association for Computing Machinery, New York, NY, USA, 79–86. https://doi.org/10.1145/2159616.2159630
- Xun Huang and Serge Belongie. 2017. Arbitrary style transfer in real-time with adaptive instance normalization. In Proceedings of the IEEE international conference on computer vision. 1501–1510.
- Human3.6M: Large Scale Datasets and Predictive Methods for 3D Human Sensing in Natural Environments. IEEE Transactions on Pattern Analysis and Machine Intelligence 36, 7 (jul 2014), 1325–1339.
- Motion Puzzle: Arbitrary Motion Style Transfer by Body Part. ACM Transactions on Graphics (TOG) (2022).
- AI Golf: Golf Swing Analysis Tool for Self-Training. IEEE Access 10 (2022), 106286–106295. https://doi.org/10.1109/ACCESS.2022.3210261
- AI Coach: A Motor Skill Training System Using Motion Discrepancy Detection. In Proceedings of the Augmented Humans International Conference 2023 (Glasgow, United Kingdom) (AHs ’23). Association for Computing Machinery, New York, NY, USA, 179–189. https://doi.org/10.1145/3582700.3582710
- Modeling Style and Variation in Human Motion. In Eurographics/ ACM SIGGRAPH Symposium on Computer Animation, MZoran Popovic and Miguel Otaduy (Eds.). The Eurographics Association. https://doi.org/10.2312/SCA/SCA10/021-030
- The KIT whole-body human motion database. In 2015 International Conference on Advanced Robotics (ICAR). 329–336. https://doi.org/10.1109/ICAR.2015.7251476
- Real-Time Style Modelling of Human Locomotion via Feature-Wise Transformations and Local Motion Phases. arXiv preprint arXiv:2201.04439 (2022).
- Real-Time Sign Language Detection Using Human Pose Estimation. In Computer Vision – ECCV 2020 Workshops, Adrien Bartoli and Andrea Fusiello (Eds.). Springer International Publishing, Cham, 237–248.
- Movella. n.d. Xsens MVN MoCap Systems. https://www.vicon.com/
- Efficient and Robust Annotation of Motion Capture Data. In Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer Animation (New Orleans, Louisiana) (SCA ’09). Association for Computing Machinery, New York, NY, USA, 17–26. https://doi.org/10.1145/1599470.1599473
- Diverse Motion Stylization for Multiple Style Domains via Spatial-Temporal Graph-Based Generative Model. Proceedings of the ACM on Computer Graphics and Interactive Techniques 4, 3 (2021), 1–17.
- Design of a video game for rehabilitation using motion capture, EMG analysis and virtual reality. In 2016 International Conference on Electronics, Communications and Computers (CONIELECOMP). 198–204. https://doi.org/10.1109/CONIELECOMP.2016.7438575
- Xsens MVN: Full 6DOF human motion tracking using miniature inertial sensors. Xsens Motion Technol. BV Tech. Rep. 3 (01 2009).
- InterPoser: Visualizing Interpolated Movements for Bouldering Training. In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI EA ’19). Association for Computing Machinery, New York, NY, USA, 1–6. https://doi.org/10.1145/3290607.3312779
- Nikolaus F. Troje. 2002. Decomposing biological motion: a framework for analysis and synthesis of human gait patterns. Journal of vision 2 5 (2002), 371–87.
- Fourier Principles for Emotion-Based Human Figure Animation. In Proceedings of the 22nd Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH ’95). Association for Computing Machinery, New York, NY, USA, 91–96. https://doi.org/10.1145/218380.218419
- Vicon. n.d. Vicon Motion Systems. https://www.vicon.com/
- A Cyclic Consistency Motion Style Transfer Method Combined with Kinematic Constraints. Journal of Sensors 2021 (06 2021), 1–17. https://doi.org/10.1155/2021/5548614
- Deep High-Resolution Representation Learning for Visual Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 43, 10 (2021), 3349–3364. https://doi.org/10.1109/TPAMI.2020.2983686
- Autoregressive Stylized Motion Synthesis with Generative Flow. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13607–13607. https://doi.org/10.1109/CVPR46437.2021.01340
- Realtime Style Transfer for Unlabeled Heterogeneous Human Motion. ACM Trans. Graph. 34, 4 (jul 2015). https://doi.org/10.1145/2766999
- M Ersin Yumer and Niloy J Mitra. 2016. Spectral style transfer for human motion between independent actions. ACM Transactions on Graphics (TOG) 35, 4 (2016), 1–8.
- MuscleRehab: Improving Unsupervised Physical Rehabilitation by Monitoring and Visualizing Muscle Engagement. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (Bend, OR, USA) (UIST ’22). Association for Computing Machinery, New York, NY, USA, Article 33, 14 pages. https://doi.org/10.1145/3526113.3545705
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