23 citations · 31 across the 8 of their papers we have counts for
4 papers · 1 filter
ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model
Shunlin Lu, Jingbo Wang, Zeyu Lu +6
The scaling law has been validated in various domains, such as natural language processing (NLP) and massive computer vision tasks; however, its application to motion generation re…
Pay Attention and Move Better: Harnessing Attention for Interactive Motion Generation and Training-free Editing
Ling-Hao Chen, Shunlin Lu, Wenxun Dai +5
This research delves into the problem of interactive editing of human motion generation. Previous motion diffusion models lack explicit modeling of the word-level text-motion corre…
Story3D-Agent: Exploring 3D Storytelling Visualization with Large Language Models
Yuzhou Huang, Yiran Qin, Shunlin Lu +4
Traditional visual storytelling is complex, requiring specialized knowledge and substantial resources, yet often constrained by human creativity and creation precision. While Large…
MotionLLM: Understanding Human Behaviors from Human Motions and Videos
Ling-Hao Chen, Shunlin Lu, Ailing Zeng +4
This study delves into the realm of multi-modality (i.e., video and motion modalities) human behavior understanding by leveraging the powerful capabilities of Large Language Models…