用几何笼过滤实现快速纹理迁移，实时运行且无伪影。
Cage-based Texture Transfer with Geometric Filtering
- 基于几何笼识别非装饰区域，抑制纹理转移伪影
- 移动端处理4.8k三角面片仅需约70毫秒
- 无需复杂训练，可直接部署于消费级设备
实时纹理迁移拓展了交互式应用的创作边界，支持从数字角色化妆到程序化汽车贴图等场景中的无缝细节投射。然而其实际应用受限于处理速度与伪影抑制之间的权衡：低延迟方法常无法有效抑制伪影，而鲁棒方案依赖大规模模型，训练和内存开销巨大。本文提出一种基于几何笼的滤波方法，通过识别非装饰区域（NCZs）实现伪影抑制。相比其他需手动标注数据集并耗时数日训练的模型，本方法可高效抑制伪影，并在消费级硬件上实现即插即用。框架在移动设备上对约4.8k三角面片的处理时间仅为~70ms，显著提升效率与实用性。
原文摘要 · Abstract (English)
Real-time texture transfer expands the creative horizon for interactive applications, enabling seamless detail projection in scenarios that range from digital character cosmetics to procedural automotive texturing. Yet, its practical application is governed by inherent trade-offs between processing speed and suppression of artifacts. Low-latency transfer methods frequently fail to suppress artifacts, and robust alternatives rely on large-scale models that are costly in training and memory. Our proposed method bridges the gap between efficiency and robustness by using a cage-based geometric filtering method to identify Non-Cosmetic Zones (NCZs) for artifact suppression. While other models are resource-intensive and require multiple days of training on manually annotated datasets, we are able to successfully suppress artifacts and achieve immediate deployment on consumer-grade hardware. Our framework achieved highly efficient runtimes of ~70ms on mobile devices for a ~4.8k triangle mesh.
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