Cubic stylization

Extending the ARAP energy with a term that depends on the face normal, energy minimization becomes an effective stylization tool for shapes represented as meshes. Our approach generalizes the possibilities of Cubic Stylization: the set of preferred normals can be chosen arbitrarily from the Gauss sphere, including semi‐discrete sets to model preference for cylinder‐ or cone‐like shapes. The optimization is designed to retain, similar to ARAP, the constant linear system in the global optimization. This leads to convergence behavior that enables interactive control over the parameters of the optimization. We provide various examples demonstrating the simplicity and versatility of the approach.

“…We have extended the implementation of Cubic Stylization made available by the authors [LJ19] and evaluated the performance on an Intel© Core™ i7‐4770K processor @ 3.50GHz × 4.…”

Section: Methodsmentioning

confidence: 99%

Section: Background and Motivationmentioning

confidence: 99%

See 1 more Smart Citation

Gauss Stylization: Interactive Artistic Mesh Modeling based on Preferred Surface Normals

Kohlbrenner

Finnendahl

Djuren

et al. 2021

“…Sellán et al [SAJ20] reformulate the developable energy into a convex semidefinite program for finding piecewise developable heightfields. In addition to these examples, deforming shapes into the cubic style [LJ19; FMR20], constructing shape abstractions [Ale21], surface parameterization [ZSL∗20], and interactive mesh editing [YZX∗04; SCL∗04] are all related to surface normals. Many more examples can be found in the design of geometric filters, such as the Guided filter [ZDZ∗15], the Shock filter [PK15], the Bilateral normal filter [ZFAT11], and the Total Variation mesh denoising [ZWZD15].…”

Section: Related Workmentioning

confidence: 99%

Normal‐Driven Spherical Shape Analogies

Liu

Jacobson

2021

Self Cite

This paper introduces a new method to stylize 3D geometry. The key observation is that the surface normal is an effective instrument to capture different geometric styles. Centered around this observation, we cast stylization as a shape analogy problem, where the analogy relationship is defined on the surface normal. This formulation can deform a 3D shape into different styles within a single framework. One can plug‐and‐play different target styles by providing an exemplar shape or an energy‐based style description (e.g., developable surfaces). Our surface stylization methodology enables Normal Captures as a geometric counterpart to material captures (MatCaps) used in rendering, and the prototypical concept of Spherical Shape Analogies as a geometric counterpart to image analogies in image processing.

“…Creating 3D shapes with different styles of geometric has drawn a lot of attentions including Japanese manga style [SLHC12], Lego brick style [LYH*15], abstraction style [MZL*09, YK12], and cubic style [lJ19]. Lun et al.…”

Section: Related Workmentioning

confidence: 99%

ClipFlip : Multi‐view Clipart Design

Shen

Liu

et al. 2020

We present an assistive system for clipart design by providing visual scaffolds from the unseen viewpoints. Inspired by the artists' creation process, our system constructs the visual scaffold by first synthesizing the reference 3D shape of the input clipart and rendering it from the desired viewpoint. The critical challenge of constructing this visual scaffold is to generate a reference 3D shape that matches the user's expectations in terms of object sizing and positioning while preserving the geometric style of the input clipart. To address this challenge, we propose a user‐assisted curve extrusion method to obtain the reference 3D shape. We render the synthesized reference 3D shape with a consistent style into the visual scaffold. By following the generated visual scaffold, the users can efficiently design clipart with their desired viewpoints. The user study conducted by an intuitive user interface and our generated visual scaffold suggests that our system is especially useful for estimating the ratio and scale between object parts and can save on average 57% of drawing time.