[2509.13688] CraftMesh: High-Fidelity Generative Mesh Manipulation via Poisson Seamless Fusion

Computer Science > Graphics arXiv:2509.13688 (cs) [Submitted on 17 Sep 2025 (v1), last revised 29 Mar 2026 (this version, v3)] Title:CraftMesh: High-Fidelity Generative Mesh Manipulation via Poisson Seamless Fusion Authors:James Jincheng, Yuxiao Wu, Youcheng Cai, Ligang Liu View a PDF of the paper titled CraftMesh: High-Fidelity Generative Mesh Manipulation via Poisson Seamless Fusion, by James Jincheng and 3 other authors View PDF HTML (experimental) Abstract:Controllable, high-fidelity mesh editing remains a significant challenge in 3D content creation. Existing generative methods often struggle with complex geometries and fail to produce detailed results. We propose CraftMesh, a novel framework for high-fidelity generative mesh manipulation via Poisson Seamless Fusion. Our key insight is to decompose mesh editing into a pipeline that leverages the strengths of 2D and 3D generative models: we edit a 2D reference image, then generate a region-specific 3D mesh, and seamlessly fuse it into the original model. We introduce two core techniques: Poisson Geometric Fusion, which utilizes a hybrid SDF/Mesh representation with normal blending to achieve harmonious geometric integration, and Poisson Texture Harmonization for visually consistent texture blending. Experimental results demonstrate that CraftMesh outperforms state-of-the-art methods, delivering superior global consistency and local detail in complex editing tasks. Subjects: Graphics (cs.GR); Artificial Intelligence (cs...