自我风格化的神经画家

Qian Wang, Cai Guo, Hongning Dai, Ping Li
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引用次数: 2

摘要

本作品介绍了自我风格化神经画家(sssnp)以一笔一笔的方式创作风格化的艺术品。sssnp由数字艺术家,画布,风格-笔画生成器(SSG)组成。通过使用SSG生成风格笔画,ssp根据给定的图像创建不同风格的绘画。我们将SSG设计为基于生成对抗网络的三人游戏,以产生纯色笔画,这对于模仿物理笔画至关重要。此外,数字艺术家调整笔画的参数(形状、大小、透明度和颜色)来重建尽可能多的参考图像的详细内容,以提高保真度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-Stylized Neural Painter
This work introduces Self-Stylized Neural Painter (SSNP) creating stylized artworks in a stroke-by-stroke manner. SSNP consists of digit artist, canvas, style-stroke generator (SSG). By using SSG to generate style strokes, SSNP creates different styles paintings based on the given images. We design SSG as a three-player game based on a generative adversarial network to produce pure-color strokes that are crucial for mimicking the physical strokes. Furthermore, the digital artist adjusts parameters of strokes (shape, size, transparency, and color) to reconstruct as much detailed content of the reference image as possible to improve the fidelity.
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