SQuadGen: Generating Simple Quad Layouts via Chart Distance Fields

• URL: http://arxiv.org/abs/2604.27329v1
• Date: Thu, 30 Apr 2026 02:15:50 GMT
• Title: SQuadGen: Generating Simple Quad Layouts via Chart Distance Fields
• Abstract summary: 3D shapes from scanning, reconstruction, or AI-generated content often lack simple quad mesh layouts.<n>Existing quad-remeshing techniques produce complex layouts with irregular loops, leading to tedious manual cleanup.<n>We introduce SQuadGen, a diffusion-based generative framework that leverages Chart Distance Fields (CDF) to synthesize simple quad layouts on 3D shapes.
• Score: 19.100132639513454
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: 3D shapes from scanning, reconstruction, or AI-generated content often lack simple quad mesh layouts -- critical for efficient editing and modeling. Existing quad-remeshing techniques typically produce complex layouts with irregular loops, leading to tedious manual cleanup and extensive algorithm tuning. We introduce SQuadGen, a diffusion-based generative framework that leverages Chart Distance Fields (CDF) to synthesize simple quad layouts on 3D shapes. Our approach addresses two key challenges: (1) the discrete nature of mesh connectivity, which hinders learning, and (2) the scarcity of large-scale datasets with simple quad meshes. To overcome the first, we propose CDF, a continuous surface-based representation enabling effective learning and synthesis of quad layouts. To address the second, we define loop-aware simplicity metrics and construct a large-scale dataset of high-quality quad layouts recovered from public 3D repositories through a robust quad-recovery pipeline. Extensive evaluations across diverse 3D inputs show that SQuadGen consistently outperforms existing methods, producing robust, artist-friendly simple quad layouts.

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