Pencil rendering on 3D meshes using convolution

Kwon, Yunmi; Yang, Heekyung; Min, Kyungha

doi:10.1016/j.cag.2012.08.002

Cited by 5 publications

(3 citation statements)

References 28 publications

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“…In contrast to streamline computation, the LIC method uses an underlying noise field to generate lines in form of shaded pixels. Different noise fields can be used, for example based on shading, colour or features [KYM12]. This method is also not reduced to using the PCDs as the primary directions for the strokes but can also use other directions such as tangents of isocurves of view‐dependent features, tangents of isophote curves [Min13, Min15] or light gradients [LKEP14].…”

Section: Low‐level Illustrative Visualization Techniquesmentioning

confidence: 99%

A Survey of Surface‐Based Illustrative Rendering for Visualization

Lawonn

Viola

Preim

et al. 2018

Computer Graphics Forum

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In this paper, we survey illustrative rendering techniques for 3D surface models. We first discuss the field of illustrative visualization in general and provide a new definition for this sub‐area of visualization. For the remainder of the survey, we then focus on surface‐based models. We start by briefly summarizing the differential geometry fundamental to many approaches and discuss additional general requirements for the underlying models and the methods' implementations. We then provide an overview of low‐level illustrative rendering techniques including sparse lines, stippling and hatching, and illustrative shading, connecting each of them to practical examples of visualization applications. We also mention evaluation approaches and list various application fields, before we close with a discussion of the state of the art and future work.

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Section: Low‐level Illustrative Visualization Techniquesmentioning

confidence: 99%

A Survey of Surface‐Based Illustrative Rendering for Visualization

Lawonn

Viola

Preim

et al. 2018

Computer Graphics Forum

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“…Later, Matsui et al [25] and Murakami et al [26] presented a pencil drawing stroke overlapping scheme. Kwon et al [27] and Yang et al [3] created a framework based on convolutions for pencil drawing on 3D meshes or photographs.…”

Section: Pencil Drawingmentioning

confidence: 99%

Syntheses of Dual-Artistic Media Effects Using a Generative Model with Spatial Control

Yang

Min

2022

Electronics

Self Cite

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We present a generative model with spatial control to synthesize dual-artistic media effects. It generates different artistic media effects on the foreground and background of an image. In order to apply a distinct artistic media effect to a photograph, deep learning-based models require a training dataset composed of pairs of a photograph and its corresponding artwork images. To build the dataset, we apply some existing techniques that generate an artwork image including colored pencil, watercolor and abstraction from a photograph. In order to produce a dual artistic effect, we apply a semantic segmentation technique to separate the foreground and background of a photograph. Our model applies different artistic media effects on the foreground and background using space control module such as SPADE block.

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“…In addition, a scheme was presented that customizes the color to user-selected palettes. Kwon et al [15] presented an LIC-based color pencil drawing scheme on three dimensional meshes. Their method generates noise on the triangles of the mesh and projects them into a 2D image space while preserving a consistent density.…”

Section: Approximation Modelmentioning

confidence: 99%

A Multi-Layered Framework for color pastel painting

2017

KSII TIIS

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We present a computerized framework for producing color pastel painting from the visual information extracted from a photograph. To express color pastel painting, we propose a multi-layered framework where each layer possesses pastel stroke patterns of different colors. The stroke patterns in the separate layers are merged by a rendering equation based on a participating media rendering scheme. To produce the stroke patterns in each layer, we review the physical properties of pastels and the mechanism of a convolution framework, which is the most widely used scheme to simulate stick-shaped media such as pencils. We devise the following computational models to extend the convolution framework to produce pastel strokes: a bold noise model, which mimics heavy and clustered deposition of pigment, and a thick convolution filter model, which produces various pastel stroke patterns. We also design a stochastic color coordination scheme to mimic pastel artists' color expression and to separate strokes in different layers. To demonstrate the soundness of approach, we conduct several experiments using the models and compare the results with existing works or real pastel paintings. We present the results for several pastel paintings to demonstrate the excellent performance of our framework.

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Pencil rendering on 3D meshes using convolution

Cited by 5 publications

References 28 publications

A Survey of Surface‐Based Illustrative Rendering for Visualization

A Survey of Surface‐Based Illustrative Rendering for Visualization

Syntheses of Dual-Artistic Media Effects Using a Generative Model with Spatial Control

A Multi-Layered Framework for color pastel painting

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