Off-the-shelf ChatGPT is a Good Few-shot Human Motion Predictor
<|reference_start|>Off-the-shelf ChatGPT is a Good Few-shot Human Motion Predictor: To facilitate the application of motion prediction in practice, recently, the few-shot motion prediction task has attracted increasing research attention. Yet, in existing few-shot motion prediction works, a specific model that is dedicatedly trained over human motions is generally required. In this work, rather than tackling this task through training a specific human motion prediction model, we instead propose a novel FMP-OC framework. In FMP-OC, in a totally training-free manner, we enable Few-shot Motion Prediction, which is a non-language task, to be performed directly via utilizing the Off-the-shelf language model ChatGPT. Specifically, to lead ChatGPT as a language model to become an accurate motion predictor, in FMP-OC, we first introduce several novel designs to facilitate extracting implicit knowledge from ChatGPT. Moreover, we also incorporate our framework with a motion-in-context learning mechanism. Extensive experiments demonstrate the efficacy of our proposed framework.<|reference_end|>
@article{qu2024off-the-shelf,
    title={Off-the-shelf ChatGPT is a Good Few-shot Human Motion Predictor},
    author={Haoxuan Qu, Zhaoyang He, Zeyu Hu, Yujun Cai, Jun Liu},
    journal={arXiv preprint arXiv:2405.15267},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.15267},
    primaryClass={cs.CV}
}