Diffusion constraints for vector graphics

Bezerra, Hedlena; Eisemann, Elmar; DeCarlo, Doug; Thollot, Joëlle

doi:10.1145/1809939.1809944

Cited by 34 publications

(54 citation statements)

References 19 publications

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“…5, the user can mark segments of a boundary to indicate the two ends of such tubular shapes. We interpret the marked segments as non-smooth silhouettes and exclude them from the shape inflation algorithm, similar in spirit to the diffusion barriers of Bezerra et al [2010]. We also use these indications to orient the mesh subdivision inbetween these two segments, resulting in a more plausible tubular appearance (Fig.…”

Section: Methodsmentioning

confidence: 99%

“…Recently however, researchers have introduced new vector primitives that offer much richer gradient capabilities. Diffusion Curves [Orzan et al 2008] and its variants [Bezerra et al 2010;Finch et al 2011;Boyé et al 2012] produce smooth gradients by interpolating colors between freeform parametric curves. Instead, gradient meshes, as available in Adobe Illustrator and CorelDraw, interpolate colors over the parametric patches of a mesh.…”

Section: Related Workmentioning

confidence: 99%

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Depicting stylized materials with vector shade trees

et al. 2013

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Figure 1: We describe Vector Shade Trees that represent stylized materials as a combination of basic shade nodes composed of vector graphics primitives (a). Combining these nodes allows the depiction of a variety of materials while preserving traditional vector drawing style and practice. We integrate our vector shade trees in a vector drawing tool that allows users to apply stylized shading effects on vector line drawings (b,c). This pdf contains png versions of vector art to avoid viewer compatibility problems; full vector versions of our results are in supplemental material. Original line drawing from koconmus, openclipart.org AbstractVector graphics represent images with compact, editable and scalable primitives. Skillful vector artists employ these primitives to produce vivid depictions of material appearance and lighting. However, such stylized imagery often requires building complex multilayered combinations of colored fills and gradient meshes. We facilitate this task by introducing vector shade trees that bring to vector graphics the flexibility of modular shading representations as known in the 3D rendering community. In contrast to traditional shade trees that combine pixel and vertex shaders, our shade nodes encapsulate the creation and blending of vector primitives that vector artists routinely use. We propose a set of basic shade nodes that we design to respect the traditional guidelines on material depiction described in drawing books and tutorials. We integrate our representation as an Adobe Illustrator plug-in that allows even inexperienced users to take a line drawing, apply a few clicks and obtain a fully colored illustration. More experienced artists can easily refine the illustration, adding more details and visual features, while using all the vector drawing tools they are already familiar with. We demonstrate the power of our representation by quickly generating illustrations of complex objects and materials.

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Section: Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Depicting stylized materials with vector shade trees

et al. 2013

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“…Instead, Bezerra et al [5] reformulated the generation of diffusion curves as a constrained minimization problem. Extra constraints on diffusion strength and diffusion direction may be imposed by the users.…”

Section: Related Workmentioning

confidence: 99%

“…However, little can be done to control the solution of this Poisson equation. Consequently, it is not possible to ensure that the vector images generated by diffusion curves satisfy various diffusion constraints, such as diffusion strength, diffusion direction [5], and diffusion points [6]. Currently, such constraints require either dedicated constraint systems [5] or different representations [6].…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, it is not possible to ensure that the vector images generated by diffusion curves satisfy various diffusion constraints, such as diffusion strength, diffusion direction [5], and diffusion points [6]. Currently, such constraints require either dedicated constraint systems [5] or different representations [6]. Overall, the generation of diffusion curves with constraints is not only very complicated, but also incompatible with the methods of generating classical diffusion curves [1].…”

Section: Introductionmentioning

confidence: 99%

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Diffusion curves with diffusion coefficients

Lin

Zhang

2018

Comp. Visual Media

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Diffusion curves can be used to generate vector graphics images with smooth variation by solving Poisson equations. However, using the classical diffusion curve model, it is difficult to ensure that the generated diffusion image satisfies desired constraints. In this paper, we develop a model for producing a diffusion image by solving a diffusion equation with diffusion coefficients, in which color layers and coefficient layers are introduced to facilitate the generation of the diffusion image. Doing so allows us to impose various constraints on the diffusion image, such as diffusion strength, diffusion direction, diffusion points, etc., in a unified computational framework. Various examples are presented in this paper to illustrate the capabilities of our model.

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Gradient Art: Creation and Vectorization

Barla

Bousseau²

2012

Computational Imaging and Vision

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There are two different categories of methods for producing vector gradients. One is mainly interested in converting existing photographs into dense vector representations. By vector it is meant that one can zoom infinitely inside images, and that control values do not have to lie onto a grid but must represent subtle color gradients found in input images. The other category is tailored to the creation of images from scratch, using a sparse set of vector primitives. In this case, we still have the infinite zoom property, but also an advanced model of how space should be filled in-between primitives, since there is no input photograph to rely on. These two categories are actually extreme cases, and seem to exclude each other: a dense representation is difficult to manipulate, especially when one wants to modify topology; a sparse representation is hardly adapted to photo vectorization, especially in the presence of texture. Very few methods lie in the middle, and the ones that do require user assistance. The challenge is worth the effort though: it would make converting an image into vector primitives easily amenable to stylization.

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Diffusion constraints for vector graphics

Cited by 34 publications

References 19 publications

Depicting stylized materials with vector shade trees

Depicting stylized materials with vector shade trees

Diffusion curves with diffusion coefficients

Gradient Art: Creation and Vectorization

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