论文标题
PTGCF：印象主义的印刷纹理指导的色彩融合油油画样式渲染
PTGCF: Printing Texture Guided Color Fusion for Impressionism Oil Painting Style Rendering
论文作者
论文摘要
作为非遗迹渲染（NPR）的主要分支，图像样式主要使用计算机算法将照片渲染为艺术绘画。最近的工作表明，样式信息的提取，例如笔触纹理和目标样式图像的颜色是图像风格的关键。鉴于其中风纹理和颜色特征，提出了一种新的中风渲染方法，该方法完全考虑了原始油画的音调特征和代表性的颜色，以便将原始油画图像的音调融入风格化的图像中，并使其接近艺术家的创作效果。实验验证了所提出模型的功效。这种方法更适合具有相对均匀的方向意识的点尔主义画家的作品，尤其是对于自然场景。当原始绘画笔触具有更清晰的方向感时，使用此方法模拟刷子纹理特征可能会不那么令人满意。
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.
