让艺术家用纹理编辑轻松控制3D人脸的外观与形态。
Geometry-Aware Texture Generation for 3D Head Modeling with Artist-driven Control
- 基于几何感知的纹理合成，学习不同人群头型与皮肤纹理的关系。
- 支持肤色调整、皱纹细节修改等三层次艺术控制，结果保持面部特征一致。
- 可直接在单张纹理图上操作，系统自动同步到其他贴图，适合快速迭代。
为虚拟角色创建符合精确艺术构思的逼真3D人脸仍需大量人工工作。本文提出一种新框架，通过几何感知纹理生成管道，学习不同人口群体头型与皮肤纹理图之间的关联。该框架提供三个层级的艺术控制：整体头型调整、肤色修改同时保留面部特征、以及皱纹或胡须等细节的精细编辑。艺术家可使用熟悉的工具仅修改单一纹理图，系统将自动一致地传播变更至其余所需纹理图，实现真实渲染。实验表明，本方法能生成多样化且几何清晰的结果。应用展示包括肤色调节和简化添加年龄特征或移除扫描模型中不想要特征的编辑流程。该集成方案旨在优化虚拟角色创作中的艺术工作流。
原文摘要 · Abstract (English)
Creating realistic 3D head assets for virtual characters that match a precise artistic vision remains labor-intensive. We present a novel framework that streamlines this process by providing artists with intuitive control over generated 3D heads. Our approach uses a geometry-aware texture synthesis pipeline that learns correlations between head geometry and skin texture maps across different demographics. The framework offers three levels of artistic control: manipulation of overall head geometry, adjustment of skin tone while preserving facial characteristics, and fine-grained editing of details such as wrinkles or facial hair. Our pipeline allows artists to make edits to a single texture map using familiar tools, with our system automatically propagating these changes coherently across the remaining texture maps needed for realistic rendering. Experiments demonstrate that our method produces diverse results with clean geometries. We showcase practical applications focusing on intuitive control for artists, including skin tone adjustments and simplified editing workflows for adding age-related details or removing unwanted features from scanned models. This integrated approach aims to streamline the artistic workflow in virtual character creation.
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