Spatial deformation transfer

Ben‐Chen, Mirela; Weber, Ofir; Gotsman, Craig

doi:10.1145/1599470.1599479

Cited by 61 publications

(80 citation statements)

References 22 publications

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“…Properties to be transferred between different shapes range from textures and geometric details [Kraevoy and Sheffer 2004;Takayama et al 2011] to deformation or animation [Sumner and Popovic 2004;Kircher and Garland 2006;Ben-Chen et al 2009]. Our work follows this trend, extending the range of transferable content.…”

Section: Garment Transfer or Gradingmentioning

confidence: 68%

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Design preserving garment transfer

et al. 2012

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We present a fully automatic method for design-preserving transfer of garments between characters with different body shapes. For real-life garments, such transfer is performed through a knowledge intensive and time consuming process, known as pattern grading. Our first contribution is to reformulate the criteria used in professional pattern-grading as a set of geometric requirements, respectively expressing shape or design preservation, proportionality, and fit. We then propose a fully automatic garment transfer algorithm which satisfies all of these criteria while ensuring the physical plausibility of the result. Specifically, we formulate garment transfer as a constrained optimization problem and solve it efficiently through iterative quadratic minimization. As demonstrated by our results, our method is able to automatically generate design-preserving versions of existing garments for target characters whose proportions and body shape significantly differ from those of the source. The method correctly handles the transfer of multiple layers of garment. Lastly, when source 2D patterns are available, we output graded patterns suitable for manufacturing the transferred garments. Our fully automatic design-preserving transfer method leads to significant time savings for both computer artists and fashion designers.

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Section: Garment Transfer or Gradingmentioning

confidence: 68%

“…[Kircher and Garland 2006;Ben-Chen et al 2009;Sumner and Popovic 2004;Bokeloh et al 2011] often use a notion of shape preservation. However, the formulations they typically use penalize shear.…”

Section: Garment Transfer or Gradingmentioning

confidence: 99%

Design preserving garment transfer

et al. 2012

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“…Offset surfaces have appeared in geometry processing for some related tasks, including cage generation [Ben-Chen et al 2009] and shape optimization for printing [Musialski et al 2015]. While techniques like [Jung et al 2004] are needed to generate "clean" offset surfaces for geometry editing purposes, in our case self-intersection and related artifacts are acceptable since the offset surface is not used for display but rather for geometric computation.…”

Section: Related Workmentioning

confidence: 99%

Functional Characterization of Intrinsic and Extrinsic Geometry

et al. 2017

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We propose a novel way to capture and characterize distortion between pairs of shapes by extending the recently proposed framework of shape differences built on functional maps. We modify the original definition of shape differences slightly and prove that, after this change, the discrete metric is fully encoded in two shape difference operators and can be recovered by solving two linear systems of equations. Then, we introduce an extension of the shape difference operators using offset surfaces to capture extrinsic or embedding-dependent distortion, complementing the purely intrinsic nature of the original shape differences. Finally, we demonstrate that a set of four operators is complete, capturing intrinsic and extrinsic structure and fully encoding a shape up to rigid motion in both discrete and continuous settings. We highlight the usefulness of our constructions by showing the complementary nature of our extrinsic shape differences in capturing distortion ignored by previous approaches. We additionally provide examples where we recover local shape structure from the shape difference operators, suggesting shape editing and analysis tools based on manipulating shape differences.

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“…However, the cage created is highly dependent on the shape of the original mesh, making it is impossible to enforce a consistent topological structure on different meshes. Ben-Chen et al [31] generate the envelope based on a sampling set of the vertices from original mesh, and no topological information from the original mesh is considered in the process. It may create cages with different topology when some parts of the original mesh are in a very close distance.…”

Section: Related Workmentioning

confidence: 99%

Automatic cage construction for retargeted muscle fitting

et al. 2012

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The animation of realistic characters necessitates the construction of complicated anatomical structures such as muscles, which allow subtle shape variation of the character's outer surface to be displayed believably. Unfortunately despite numerous efforts, the modelling of muscle structures is still left for an animator who has to painstakingly build up piece by piece, making it a very tedious process. What is even more frustrating is the animator has to build the same muscle structure for every new character. We propose a muscle retargeting technique to help an animator to automatically construct a muscle structure by reusing an already built and tested model (the template model). Our method defines a spatial transfer between the template model and a new model based on the skin surface and the rigging structure. To ensure that the retargeted muscle is tightly packed inside a new character, we define a novel spatial optimization based on spherical parameterization. Our method requires no manual input, meaning that an animator does not require anatomical knowledge to create realistic accurate musculature models.

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Spatial deformation transfer

Abstract: Much effort is invested in generating natural deformations of three-dimensional shapes. Deformation transfer simplifies this process by allowing to infer deformations of a new

Cited by 61 publications

References 22 publications

Design preserving garment transfer

Design preserving garment transfer

Functional Characterization of Intrinsic and Extrinsic Geometry

Automatic cage construction for retargeted muscle fitting

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