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Detail-Preserving Paint Modeling for 3D Brushes

机译:保留细节的3D笔刷绘制模型

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摘要

Recent years have witnessed significant advances in 3D brush modeling and simulation in digital paint tools. Compared with traditional 2D brushes, a 3D brush can be both more intuitive and more expressive by offering an experience closer to wielding a real, physical brush. To support popular media types such as oil and pastel, most previous 3D brush models have implemented paint smearing and mixing. This is generally accomplished by a simple repeated exchange of paint between the 3D brush and 2D canvas, with the paint picked up by the brush typically mapped directly onto the brush surface. In this paper we demonstrate that both repeated exchanges and direct mapping of paint onto brush surfaces are sub-optimal choices, leading to excessive loss of color detail and computational inefficiencies. We present new techniques to solve both problems, first by using a canvas snapshot buffer to prevent repeated paint exchange, and second by mapping brush paint onto a 2D, resolution-matched pickup map that sits underneath the brush, instead of mapping onto the 3D brush itself. Together, these act to minimize resampling artifacts, helping to preserve fine streaks and color details in strokes, while at the same time yielding improved efficiency by never sampling the brush more densely than necessary. We demonstrate the effectiveness of our method in a real-time paint system implemented on the GPU that simulates pastel and oil paint. Our method is simple and effective, and achieves a level of realism for these two media not attained by any previous work.
机译:近年来,数字绘画工具在3D笔刷建模和仿真方面取得了重大进展。与传统2D笔刷相比,3D笔刷可以通过提供更接近真实的物理笔刷的体验来更加直观和更具表现力。为了支持流行的媒体类型(例如油和粉彩),大多数以前的3D画笔模型都实现了油漆涂抹和混合。通常,这是通过在3D画笔和2D画布之间简单重复地交换油漆来完成的,通常由画笔拾取的油漆通常直接映射到画笔表面上。在本文中,我们证明了反复交换和直接将涂料映射到画笔表面都是次佳的选择,从而导致过多的色彩细节损失和计算效率低下。我们提出了解决这两个问题的新技术,首先是使用画布快照缓冲区来防止重复的绘画交换,其次是将画笔绘画映射到位于画笔下方的2D,分辨率匹配的拾取贴图,而不是映射到3D画笔本身。这些共同作用可以最大程度地减少重采样伪像,有助于保留笔划中的细条纹和颜色细节,同时通过从未比需要的时候更密集地采样画笔来提高效率。我们在GPU上实现的模拟粉彩和油漆的实时油漆系统中证明了我们方法的有效性。我们的方法既简单又有效,并且为这两种媒体提供了以前任何工作都无法达到的真实感。

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