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Jianrong Zhang

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Aug 2026

Text-to-Motion Generation With Discrete Representations and Large Language Models.

This work investigates a simple yet effective conditional generative framework for text-to-motion generation and proposes T2M-GIT+, which employs a non-autoregressive method to generate discrete motion representations in parallel, and is therefore more efficient than T2M-GPT+ while achieving comparable results.

Jianrong Zhang, Yang Zhang, Xiaodong Cun et al. · 0 citations