EBOAT: Error-Bounded Adaptive Tessellation of Singularities for Real-Time Catmull-Clark Subdivision Surfaces Rendering

Loading...
Thumbnail Image
Date
2026
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
Tessellation is critical for real-time rendering of Catmull-Clark subdivision (CCS) surfaces, with control mesh singularities posing a major challenge. Prior works typically pre-subdivide singular regions to a fixed depth offline to facilitate efficient runtime tessellation, yet this practice fails to meet view-dependent error requirements for high-fidelity rendering—especially at pixel-level accuracy. Hence, we present EBOAT, a novel direct-evaluation tessellation method that integrates memory-efficient feature-adaptive subdivision via a connectivity-elided representation for singularities, along with a two-phase error control strategy and improved subdivision depth estimation built upon it. With a uniform tessellation level of 64, EBOAT achieves a 3.8×–4.7× speedup over OpenSubdiv, without relying on fixed-depth pre-subdivision. Compared to state-of-the-art breadthfirst subdivision, it yields a 4.2×–7.1× speedup while providing more accurate sampling. To further demonstrate its effectiveness, we implement a pixel-accurate CCS surface rendering pipeline with EBOAT fully integrated, and provide an in-depth evaluation of rendering quality. Given its advantages in both performance and accuracy, EBOAT offers a promising alternative for real-time CCS surface rendering in industrial applications.
Description

CCS Concepts: Computing methodologies → Rendering; Parallel algorithms;

        
@article{
10.1111:cgf.70346
, journal = {Computer Graphics Forum}, title = {{
EBOAT: Error-Bounded Adaptive Tessellation of Singularities for Real-Time Catmull-Clark Subdivision Surfaces Rendering
}}, author = {
Zeng, Yajun
and
Lu, Yang
and
Chen, Cong
and
Xiong, Ruicheng
and
Liu, Ligang
}, year = {
2026
}, publisher = {
The Eurographics Association and John Wiley & Sons Ltd.
}, ISSN = {
1467-8659
}, DOI = {
10.1111/cgf.70346
} }
Citation