Emotion-Inspired Painterly Rendering

Abstract

When painters draw, they do not draw what they see; they reflect their emotions through specific forms of artistic expression. Through this empathy, humans derive aesthetic satisfaction. Psychological studies on art and emotions have been extensively conducted since the 20th century, and it has been found that artistic activities such as painting and writing have a positive effect on human emotions. However, it is difficult for a non-professional painter to express human emotions in a picture using artistic elements. The aim of this study was to propose a "user emotion-inspired painterly rendering process" to help non-professionals reflect their emotions through painting. To accomplish this aim, a painter-rendering system that automatically creates digital paintings with parameterized painting features was used. We analyzed the correlation between human emotions and the rendering parameters affecting the painting style through a user study, and we estimated the rendering parameter values for specific emotions. The results showed that colors and emotions were closely linked, and color scheme was an influential factor in the paintings. Furthermore, we developed a recoloring algorithm based on Kobayashi's three color systems classified as human emotions, and we created paintings that better reflect specific emotions. The proposed algorithm was validated through a user satisfaction survey. Hence, the proposed system can improve a user's understanding of painting and create paintings that reflect specific emotions.

Subdivision of Artistic Objectives of Oil Painting Creation under the Evaluation of Deep Learning Model

“…(1) The existing results in art painting mainly simulate natural images in oil and pastel painting or analyse art styles for western paintings such as oil painting [2]. As a unique art form, Chinese painting has a very different mood and flavour compared to other art styles (such as oil painting, cartoon, and chalk painting), so some of the existing research on Western painting cannot be directly applied to the analysis of oil painting…”

Stroke Based Painterly Rendering with Mass Data through Auto Warping Generation

“…All existing studies [17][18][19][20] have been used to improve the quality of results using traditional brush strokes or to draw styles for specific artists. In recent years, existing studies [9,21] have proceeded to express the results differently by adding sensitivity or changing lighting. We would like to propose a study that expands the brush stroke database to improve the results of traditional stroke based rendering.…”

“…Painting rendering, a field of non-realistic rendering, refers to a technology that receives two-dimensional images or three-dimensional model data and renders them. In pictorial rendering, there is a style transfer technique [1][2][3][4][5][6] with basic units in pixels and a stroke-based rendering [7][8][9][10][11][12] with images. Because stroke-based rendering proceeds with the base unit as a stroke image, the result depends on the stroke used.…”