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title
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ShapeGPT: A Unified Shape-centric Multi-modal Language Model.
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2026-03-01 03:48:29
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ShapeGPT Shape GPT: 3D Shape Generation with A Unified Multi-modal Language Model Paper Code Fukun Yin 1,2 Xin Chen 2 Chi Zhang 2 Biao Jiang 1,2 Zibo Zhao 2,3 Jiayuan Fan 1 Gang Yu 2 Taihao Li 4 Tao Chen 1 1 Fudan University 2 Tencent PCG 3 ShanghaiTech Univ. 4 Zhejiang Lab Paper Abstract The advent of large language models, enabling flexibility through instruction-driven approaches, has revolutionized many traditional generative tasks, but large models for 3D data, particularly in comprehensively handling 3D shapes with other modalities, are still under-explored. By achieving instruction-based shape generations, versatile multimodal generative shape models can significantly benefit various fields like 3D virtual construction and network-aided design. In this work, we present ShapeGPT, a shape-included multi-modal framework to leverage strong pre-trained language models to address multiple shape-relevant tasks. Specifically, ShapeGPT empl...
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