MotionGPT

MotionGPT is a unified motion-language model designed for handling multiple motion-relevant tasks. It treats human motion as a specific language, allowing for the fusion of language data with large-scale motion models. This model is particularly useful for tasks such as text-driven motion generation, motion captioning, and motion prediction. MotionGPT employs discrete vector quantization for human motion, converting 3D motion into motion tokens similar to word tokens, and performs language modeling on both motion and text in a unified manner. The model is pre-trained with a mixture of motion-language data and fine-tuned on prompt-based question-and-answer tasks. Extensive experiments demonstrate that MotionGPT achieves state-of-the-art performances on multiple motion tasks. MotionGPT's capabilities make it an invaluable tool for various applications, including motion generation, prediction, and captioning. It is especially beneficial for researchers, developers, and artists working with human motion data, as it provides a unified framework for understanding and generating human motion. By leveraging MotionGPT, users can create more realistic and engaging motion sequences, and gain deeper insights into human motion patterns.