Temporal-Continual-Learning-with-Prior-Compensation-for-Human-Motion-Prediction

This is official implementation for NeurIPS2023 paper Temporal Continual Learning with Prior Compensation for Human Motion Prediction.

[paper]

We provide model checkpoints for multiple backbone models on different datasets.

Usage

cd {PGBIG/LTD/STSGCN/siMLPe} and follow the instructions in {PGBIG/LTD/STSGCN/siMLPe}/README.md.

Visualization

For visualization, we have developed a simple visualization-tool that can be used following the instructions in README.md.

Citation

If you find this project useful in your research, please consider citing:

@article{tang2023temporal,
  title={Temporal continual learning with prior compensation for human motion prediction},
  author={Tang, Jianwei and Sun, Jiangxin and Lin, Xiaotong and Zheng, Wei-Shi and Hu, Jian-Fang and others},
  journal={Advances in Neural Information Processing Systems},
  volume={36},
  pages={65837--65849},
  year={2023}
}

Acknowledgments

Our code is based on PGBIG, LTD, STSGCN and siMLPe.