March 15, 2024, 4:42 a.m. | Fangfu Liu, Hanyang Wang, Weiliang Chen, Haowen Sun, Yueqi Duan

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.09625v1 Announce Type: cross
Abstract: Recent years have witnessed the strong power of 3D generation models, which offer a new level of creative flexibility by allowing users to guide the 3D content generation process through a single image or natural language. However, it remains challenging for existing 3D generation methods to create subject-driven 3D content across diverse prompts. In this paper, we introduce a novel 3D customization method, dubbed Make-Your-3D that can personalize high-fidelity and consistent 3D content from only …

abstract arxiv consistent content generation creative cs.cv cs.lg flexibility guide however image language natural natural language power process through type

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