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https://github.com/isarandi/nlf

[NeurIPS 2024] Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
https://github.com/isarandi/nlf

3d-human-mesh 3d-human-pose-estimation 3d-human-shape-and-pose-estimation human-mesh-reconstruction human-mesh-recovery pytorch tensorflow

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[NeurIPS 2024] Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation

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# Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
* [NeurIPS'24 paper](https://arxiv.org/abs/2407.07532) by István Sárándi and Gerard Pons-Moll
* [Project page](https://istvansarandi.com/nlf)

Models for PyTorch and TensorFlow are available for noncommercial research use under Releases, and usage examples are given in `demo.ipynb`. Stay tuned for more detailed docs.

Training code is provided for TensorFlow (PyTorch version underway).

## Acknowledgments
This work was supported by the German Federal Ministry of Education and Research (BMBF): Tübingen AI Center, FKZ: 01IS18039A. This work is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 409792180 (Emmy Noether Programme, project: Real Virtual Humans). GPM is a member of the Machine Learning Cluster of Excellence, EXC number 2064/1 –Project number 390727645. The project was made possible by funding from the Carl Zeiss Foundation.

## BibTeX
```
@article{sarandi2024nlf,
title = {Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation},
author = {S\'ar\'andi, Istv\'an and Pons-Moll, Gerard},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
year = {2024}
}
```