A Hessian-Based Field Deformer for Real-Time Topology-Aware Shape Editing
Yunxiao Zhang, Zixiong Wang, Zihan Zhao, Rui Xu, Shuangmin Chen,, Shiqing Xin, Wenping Wang, Changhe Tu

TL;DR
This paper introduces a real-time, topology-aware shape editing method using a Hessian-based approach to manipulate signed distance functions, enabling intuitive topology changes in 3D models at 30 FPS.
Contribution
The paper presents a novel Hessian-based field deformer that allows real-time topology editing by leveraging saddle points of the SDF and a new B-spline parameterization.
Findings
Enables real-time topology editing at 30 FPS.
User study shows system is intuitive and user-friendly.
Effective in applications like error fixing, artistic design, and medical imaging.
Abstract
Shape manipulation is a central research topic in computer graphics. Topology editing, such as breaking apart connections, joining disconnected ends, and filling/opening a topological hole, is generally more challenging than geometry editing. In this paper, we observe that the saddle points of the signed distance function (SDF) provide useful hints for altering surface topology deliberately. Based on this key observation, we parameterize the SDF into a cubic trivariate tensor-product B-spline function whose saddle points can be quickly exhausted based on a subdivision-based root-finding technique coupled with Newton's method. Users can select one of the candidate points, say , to edit the topology in real time. In implementation, we add a compactly supported B-spline function rooted at , which we call a \textit{deformer} in…
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