54 citations · 75 across the 6 of their papers we have counts for
5 papers · 1 filter
MotionGPT3: Human Motion as a Second Modality
Bingfan Zhu, Biao Jiang, Sunyi Wang +5
With the rapid progress of large language models (LLMs), multimodal frameworks that unify understanding and generation have become promising, yet they face increasing complexity as…
MotionChain: Conversational Motion Controllers via Multimodal Prompts
Biao Jiang, Xin Chen, Chi Zhang +4
Recent advancements in language models have demonstrated their adeptness in conducting multi-turn dialogues and retaining conversational context. However, this proficiency remains…
ShapeGPT: 3D Shape Generation with A Unified Multi-modal Language Model
Fukun Yin, Xin Chen, Chi Zhang +6
The advent of large language models, enabling flexibility through instruction-driven approaches, has revolutionized many traditional generative tasks, but large models for 3D data,…
MotionGPT: Human Motion as a Foreign Language
Biao Jiang, Xin Chen, Wen Liu +3
Though the advancement of pre-trained large language models unfolds, the exploration of building a unified model for language and other multi-modal data, such as motion, remains ch…
Executing your Commands via Motion Diffusion in Latent Space
Xin Chen, Biao Jiang, Wen Liu +5
We study a challenging task, conditional human motion generation, which produces plausible human motion sequences according to various conditional inputs, such as action classes or…