SCGFormer: Semantic Chebyshev Graph Convolution Transformer for 3D Human Pose Estimation
With the rapid advancement of deep learning, 3D human pose estimation has largely freed itself from reliance on manually annotated methods. The effective utilization of joint features has become significant. Utilizing 2D human joint information to predict 3D human skeletons is of paramount importanc...
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| Glavni autori: | , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2024-02-01
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| Serija: | Applied Sciences |
| Teme: | |
| Online pristup: | https://www.mdpi.com/2076-3417/14/4/1646 |
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