Cage-based Texture Transfer with Geometric Filtering
For interactive applications requiring real-time texture transfer, this method offers a practical solution that balances efficiency and robustness without the need for costly training.
The paper tackles the trade-off between speed and artifact suppression in real-time texture transfer. The proposed cage-based geometric filtering method achieves artifact suppression with ~70ms runtime on mobile devices for a ~4.8k triangle mesh, enabling immediate deployment without training.
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.