Efficient and effective cage generation by region decomposition

Xian, Chuhua; Li, Guiqing; Yu, Xiong

doi:10.1002/cav.1571

Cited by 10 publications

(5 citation statements)

References 34 publications

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“…As these properties only loosely define the requirements for a high‐quality cage, the quality of the cage needs to be evaluated in light of each use case. In order to allow for the comparison of cages, X ian et al [XLX15] present a quality metric for cages:

…”

Section: Cagesmentioning

confidence: 99%

“…For fast computation of coarse cages, X ian et al [XLX15] present a voxelization‐based region decomposition with subsequent simplification. The method relies on a voxel grid of the model's OBB.…”

Section: Cagesmentioning

confidence: 99%

“…Due to the ongoing challenges, many research papers [ZDL*14; XLX15; WJBK15; TMB18; TB22; CDH23; CDD23] have addressed cage‐based deformation in the past decade. More than a decade has passed since the last survey on cage‐based deformation [NS12].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Survey on Cage‐based Deformation of 3D Models

Ströter,

Thiery,

Hormann

et al. 2024

Computer Graphics Forum

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Interactive deformation via control handles is essential in computer graphics for the modeling of 3D geometry. Deformation control structures include lattices for free‐form deformation and skeletons for character articulation, but this report focuses on cage‐based deformation. Cages for deformation control are coarse polygonal meshes that encase the to‐be‐deformed geometry, enabling high‐resolution deformation. Cage‐based deformation enables users to quickly manipulate 3D geometry by deforming the cage. Due to their utility, cage‐based deformation techniques increasingly appear in many geometry modeling applications. For this reason, the computer graphics community has invested a great deal of effort in the past decade and beyond into improving automatic cage generation and cage‐based deformation. Recent advances have significantly extended the practical capabilities of cage‐based deformation methods. As a result, there is a large body of research on cage‐based deformation. In this report, we provide a comprehensive overview of the current state of the art in cage‐based deformation of 3D geometry. We discuss current methods in terms of deformation quality, practicality, and precomputation demands. In addition, we highlight potential future research directions that overcome current issues and extend the set of practical applications. In conjunction with this survey, we publish an application to unify the most relevant deformation methods. Our report is intended for computer graphics researchers, developers of interactive geometry modeling applications, and 3D modeling and character animation artists.

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…”

Section: Cagesmentioning

confidence: 99%

Section: Cagesmentioning

confidence: 99%

See 1 more Smart Citation

A Survey on Cage‐based Deformation of 3D Models

Ströter,

Thiery,

Hormann

et al. 2024

Computer Graphics Forum

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show abstract

“…The first thing of CBD is cage generation which can be divided into two kinds, automatic and user interactive. Automatic methods are typically completely geometric including mesh simplification [169,170,171,172] and voxelization [173,174]. But these methods tend to produce imperfect cages or sometimes fail.…”

Section: Cage Predictionmentioning

confidence: 99%

A Revisit of Shape Editing Techniques: From the Geometric to the Neural Viewpoint

Yuan

Lai

et al. 2021

J. Comput. Sci. Technol.

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3D shape editing is widely used in a range of applications such as movie production, computer games and computer aided design. It is also a popular research topic in computer graphics and computer vision. In past decades, researchers have developed a series of editing methods to make the editing process faster, more robust, and more reliable. Traditionally, the deformed shape is determined by the optimal transformation and weights for an energy formulation. With increasing availability of 3D shapes on the Internet, data-driven methods were proposed to improve the editing results. More recently as the deep neural networks became popular, many deep learning based editing methods have been developed in this field, which are naturally data-driven. We mainly survey recent research studies from the geometric viewpoint to those emerging neural deformation techniques and categorize them into organic shape editing methods and man-made model editing methods. Both traditional methods and recent neural network based methods are reviewed.

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“…The first thing of CBD is cage generation which can be divided into two kinds, automatic and user interactive. Automatic methods are typically completely geometric including mesh simplification [162,163,164,165] and voxelization [166,167]. But these methods tend to produce imperfect cages or sometimes fail.…”

Section: Cage Predictionmentioning

confidence: 99%

A Revisit of Shape Editing Techniques: from the Geometric to the Neural Viewpoint

Yuan

Lai

et al. 2021

Preprint

View full text Add to dashboard Cite

3D shape editing is widely used in a range of applications such as movie production, computer games and computer aided design. It is also a popular research topic in computer graphics and computer vision. In past decades, researchers have developed a series of editing methods to make the editing process faster, more robust, and more reliable. Traditionally, the deformed shape is determined by the optimal transformation and weights for an energy term. With increasing availability of 3D shapes on the Internet, data-driven methods were proposed to improve the editing results. More recently as the deep neural networks became popular, many deep learning based editing methods have been developed in this field, which is naturally data-driven. We mainly survey recent research works from the geometric viewpoint to those emerging neural deformation techniques and categorize them into organic shape editing methods and man-made model editing methods. Both traditional methods and recent neural network based methods are reviewed.

show abstract

Efficient and effective cage generation by region decomposition

Cited by 10 publications

References 34 publications

A Survey on Cage‐based Deformation of 3D Models

A Survey on Cage‐based Deformation of 3D Models

A Revisit of Shape Editing Techniques: From the Geometric to the Neural Viewpoint

A Revisit of Shape Editing Techniques: from the Geometric to the Neural Viewpoint

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