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README.md
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license: apache-2.0
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tags:
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---
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# PoseMamba Pretrained Weights
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---
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license: apache-2.0
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tags:
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- pose-estimation
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- mamba
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- ssm
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- 3d-pose
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- aaai2025
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- human-pose-estimation
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- pytorch
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arxiv: 2408.03540
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datasets:
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- human3.6m
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language:
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- en
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pipeline_tag: other
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# PoseMamba Pretrained Weights
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Official checkpoints for **[PoseMamba](https://github.com/nankingjing/PoseMamba)** (AAAI 2025).
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> Paper: [AAAI 2025](https://ojs.aaai.org/index.php/AAAI/article/view/32401) 路 [arXiv:2408.03540](https://arxiv.org/abs/2408.03540)
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## Models
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| Model | File | Params | MACs | H36M P1 (2D det) |
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|-------|------|--------|------|------------------|
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| PoseMamba-S | `PoseMamba_S.bin` | 0.9M | 3.6G | 41.8 mm |
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| PoseMamba-B | `PoseMamba_B.bin` | 3.4M | 13.9G | 40.8 mm |
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| PoseMamba-L | `PoseMamba_L.bin` | 6.7M | 27.9G | **38.1 mm** |
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## Links
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- **Code**: https://github.com/nankingjing/PoseMamba
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- **Demo Space**: https://huggingface.co/spaces/nankingjings/PoseMamba-Demo
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- **Colab**: https://colab.research.google.com/github/nankingjing/PoseMamba/blob/main/notebooks/PoseMamba_Demo.ipynb
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- **FAQ**: https://github.com/nankingjing/PoseMamba/discussions/21
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## Citation
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```bibtex
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@inproceedings{huang2025posemamba,
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title={PoseMamba: Monocular 3D Human Pose Estimation with Bidirectional Global-Local Spatio-Temporal State Space Model},
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author={Huang, Yunlong and Liu, Junshuo and Xian, Ke and Qiu, Robert Caiming},
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booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
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year={2025}
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}
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```
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