SS-MVMETRO: Semi-supervised multi-view human mesh recovery transformer
Author:
Funder
Youth Innovation Promotion Association of the Chinese Academy of Sciences
Natural Science Foundation of Shandong Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05435-9.pdf
Reference57 articles.
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2. Ran H, Ning X, Li W et al (2023) 3d human pose and shape estimation via de-occlusion multi-task learning. Neurocomputing 126284. https://doi.org/10.1016/j.neucom.2023.126284
3. Wei G, Lan C, Zeng W et al (2020) View invariant 3d human pose estimation. IEEE Trans Circuits Syst Video Technol 30(12):4601–4610. https://doi.org/10.1109/TCSVT.2019.2928813
4. 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
5. Kolotouros N, Pavlakos G, Black MJ et al (2019) 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
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