5 papers
Causal Reasoning Elicits Controllable 3D Scene Generation
Shen Chen, Ruiyu Zhao, Jiale Zhou +3
Existing 3D scene generation methods often struggle to model the complex logical dependencies and physical constraints between objects, limiting their ability to adapt to dynamic a…
Bayesian Optimization for Controlled Image Editing via LLMs
Chengkun Cai, Haoliang Liu, Xu Zhao +6
In the rapidly evolving field of image generation, achieving precise control over generated content and maintaining semantic consistency remain significant limitations, particularl…
Graph Canvas for Controllable 3D Scene Generation
Libin Liu, Shen Chen, Sen Jia +6
Spatial intelligence is foundational to AI systems that interact with the physical world, particularly in 3D scene generation and spatial comprehension. Current methodologies for 3…
Human Motion Instruction Tuning
Lei Li, Sen Jia, Jianhao Wang +6
This paper presents LLaMo (Large Language and Human Motion Assistant), a multimodal framework for human motion instruction tuning. In contrast to conventional instruction-tuning ap…
The Role of Deductive and Inductive Reasoning in Large Language Models
Chengkun Cai, Xu Zhao, Haoliang Liu +5
Large Language Models (LLMs) have demonstrated impressive capabilities in reasoning tasks, yet their reliance on static prompt structures and limited adaptability to complex scenar…