Parallel‐branch network for 3D human pose and shape estimation in video
Author:
Affiliation:
1. Southeast University Nanjing China
Publisher
Wiley
Subject
Computer Graphics and Computer-Aided Design,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cav.2078
Reference36 articles.
1. PavlakosG ZhouX DaniilidisK.Ordinal depth supervision for 3D human pose estimation. In: CVPR;2018.
2. MoonG LeeKM.I2l‐meshnet: Imageto‐lixel prediction network for accurate 3d human pose and mesh estimation from a single rgb image. In: ECCV;2020.
3. PavlloD FeichtenhoferC GrangierD AuliM.3d human pose estimation in video with temporal convolutions and semi‐supervised training. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition;2019. p.7753–62.
4. MartinezJ HossainR RomeroJ LittleJJ.A simple yet effective baseline for 3d human pose estimation. In: International conference on computer vision (ICCV);2017. p.2659–68.
5. SMPL
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