1 citations · 1 across the 4 of their papers we have counts for
5 papers
Octrees as an Explicit 3D Language
Ran Dan, Si-Tong Wei, Pengfei Xiong +3
Existing 3D large language models (LLMs) compromise on two fronts: they compress shapes into latent codebook indices or coordinate text, which removes spatial structure from what t…
ReCache: Efficient KV Cache Reuse and Compression for Tool-Augmented LLM Agents
Yichu Fang, Sitong Wei, Haozhe Hu +1
Agentic language models repeatedly encode tool and skill schemas that recur across requests in different combinations and orders, preventing standard prefix caching from reusing th…
aDSL: Agentic 3D Creation via Joint Agent-Program Design
Rui-Huan Wang, Si-Tong Wei, Jia-Qi He +3
Programmatic representations provide a compelling paradigm for 3D content creation, enabling fine-grained edits, interpretability, and explicit structural control. Yet, agentic wor…
OctGPT: Octree-based Multiscale Autoregressive Models for 3D Shape Generation
Si-Tong Wei, Rui-Huan Wang, Chuan-Zhi Zhou +2
Autoregressive models have achieved remarkable success across various domains, yet their performance in 3D shape generation lags significantly behind that of diffusion models. In t…
OctFusion: Octree-based Diffusion Models for 3D Shape Generation
Bojun Xiong, Si-Tong Wei, Xin-Yang Zheng +3
Diffusion models have emerged as a popular method for 3D generation. However, it is still challenging for diffusion models to efficiently generate diverse and high-quality 3D shape…