A monocular 3D human pose estimation approach for virtual character skeleton retargeting
Author:
Funder
Natural Science Foundation of Shanghai
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-023-04629-2.pdf
Reference27 articles.
1. Cao Z, Hidalgo G, Simon T et al (2021) OpenPose: realtime multi-person 2D pose estimation using part affinity fields. IEEE Trans Pattern Anal Mach Intell 43(1):172–186. https://doi.org/10.1109/TPAMI.2019.2929257
2. Chen Y, Shen C, Chen H et al (2020) Adversarial learning of structure-aware fully convolutional networks for landmark localization. IEEE Trans Pattern Anal Mach Intell 42(7):1654–1669. https://doi.org/10.1109/TPAMI.2019.2901875
3. Chen YC, Piccirilli M, Piramuthu R et al (2021) Self-attentive 3D human pose and shape estimation from videos. Comput vis Image Underst 213(2021):103305–103318. https://doi.org/10.1016/j.cviu.2021.103305
4. Dabral R, Mundhada A, Kusupati U et al (2018) Learning 3D human pose from structure and motion. Eur Conf Comput Vision 11213:679–696. https://doi.org/10.1007/978-3-030-01240-3_41
5. Gu R, Wang G, Jiang Z et al (2020) Multi-person hierarchical 3D pose estimation in natural videos. IEEE Trans Circuits Syst Video Technol 30(11):4245–4257. https://doi.org/10.1109/TCSVT.2019.2953678
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