PTGCF: Printing Texture Guided Color Fusion for Impressionism Oil Painting Style Rendering
This work addresses image stylization for artists and designers, but it is incremental as it builds on existing methods for extracting style information in Non-Photorealistic Rendering.
The paper tackles the problem of rendering photos into impressionism oil painting style by proposing a stroke rendering method that incorporates tonal characteristics and representative colors from the original painting, with experiments validating its efficacy, particularly for natural scenes with uniform brush stroke direction.
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.