SShaDe: scalable shape deformation via local representations

TL;DR

SShaDe introduces a scalable mesh deformation method that leverages local representations and remeshing to efficiently handle high-resolution meshes in various deformation tasks, outperforming traditional linear algebra-based techniques in speed and robustness.

Contribution

The paper presents a novel scalable approach for high-resolution mesh deformation using local reference frames and remeshing, enabling efficient processing of large meshes.

Findings

Handles meshes with hundreds of thousands of vertices in tens of seconds.

Achieves results comparable to state-of-the-art methods.

Proves robustness across multiple deformation applications.

Abstract

With the increase in computational power for the available hardware, the demand for high-resolution data in computer graphics applications increases. Consequently, classical geometry processing techniques based on linear algebra solutions are starting to become obsolete. In this setting, we propose a novel approach for tackling mesh deformation tasks on high-resolution meshes. By reducing the input size with a fast remeshing technique and preserving a consistent representation of the original mesh with local reference frames, we provide a solution that is both scalable and robust in multiple applications, such as as-rigid-as-possible deformations, non-rigid isometric transformations, and pose transfer tasks. We extensively test our technique and compare it against state-of-the-art methods, proving that our approach can handle meshes with hundreds of thousands of vertices in tens of seconds while still achieving results comparable with the other solutions.