NDLI: Example-based brushes for coherent stylized renderings

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Example-based brushes for coherent stylized renderings

Content Provider	ACM Digital Library
Author	Milliez, Antoine Zheng, Ming Sumner, Robert W. Gross, Markus
Abstract	Painterly stylization is the cornerstone of non-photorealistic rendering. Inspired by the versatility of paint as a physical medium, existing methods target intuitive interfaces that mimic physical brushes, providing artists the ability to intuitively place paint strokes in a digital scene. Other work focuses on physical simulation of the interaction between paint and paper or realistic rendering of wet and dry paint. In our work, we leverage the versatility of example-based methods that can generate paint strokes of arbitrary shape and style based on a collection of images acquired from physical media. Such ideas have gained popularity since they do not require cumbersome physical simulation and achieve high fidelity without the need of a specific model or rule set. However, existing methods are limited to the generation of static 2D paintings and cannot be applied in the context of 3D painting and animation where paint strokes change shape and length as the camera viewport moves. Our method targets this shortcoming by generating temporally-coherent example-based paint strokes that accommodate to such length and shape changes. We demonstrate the robustness of our method with a 2D painting application that provides immediate feedback to the user and show how our brush model can be applied to the screen-space rendering of 3D paintings on a variety of examples.
Starting Page	1
Ending Page	10
Page Count	10
File Format	PDF
ISBN	9781450350815
DOI	10.1145/3092919.3092929
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-07-29
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Painterly rendering Temporal coherence Stylization
Content Type	Text
Resource Type	Article

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