PTGCF：面向印象派油画风格渲染的打印纹理引导色彩融合
PTGCF: Printing Texture Guided Color Fusion for Impressionism Oil Painting Style Rendering
AI总结：
本文提出PTGCF笔触渲染方法，通过融合原始油画的色调特征与代表性颜色实现印象派风格化，实验表明其更适用于方向感均匀的点彩派作品及自然场景。
摘要：
作为非真实感渲染（NPR）的一个重要分支，图像风格化主要利用计算机算法将照片渲染成艺术绘画。近年来的研究表明，提取目标风格图像的笔触纹理和色彩等风格信息是图像风格化的关键。鉴于其笔触纹理和色彩特征，本文提出了一种新的笔触渲染方法，该方法充分考虑原始油画的色调特征和代表性颜色，以便将原始油画图像的色调融入风格化图像中，使其接近艺术家的创作效果。实验验证了所提模型的有效性。该方法更适合方向感相对均匀的点彩派画家作品，尤其是自然场景。当原始绘画笔触具有较清晰的方向感时，使用该方法模拟笔触纹理特征的效果可能不太令人满意。
英文摘要：
As a major branch of Non-Photorealistic Rendering (NPR), image stylization mainly uses the computer algorithms to render a photo into an artistic painting. Recent work has shown that the extraction of style information such as stroke texture and color of the target style image is the key to image stylization. Given its stroke texture and color characteristics, a new stroke rendering method is proposed, which fully considers the tonal characteristics and the representative color of the original oil painting, in order to fit the tone of the original oil painting image into the stylized image and make it close to the artist's creative effect. The experiments have validated the efficacy of the proposed model. This method would be more suitable for the works of pointillism painters with a relatively uniform sense of direction, especially for natural scenes. When the original painting brush strokes have a clearer sense of direction, using this method to simulate brushwork texture features can be less satisfactory.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
