54 citations · 75 across the 6 of their papers we have counts for
6 papers
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…
Financial Distress Prediction For Small And Medium Enterprises Using Machine Learning Techniques
Yuan Gao, Biao Jiang, Jietong Zhou
Financial Distress Prediction plays a crucial role in the economy by accurately forecasting the number and probability of failing structures, providing insight into the growth and…
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…