Accompanied by the rapid development of today’s AI technology, the combination of science and technology and art has led to the emergence of numerous oil paintings with AI technology as the creative carrier and expressive medium. On the basis of elaborating the application value of traditional techniques of oil painting, the article analyzes the performance of traditional techniques of oil painting empowered by AI technology. Then, a deep deterministic gradient algorithm based on Actor-Critic framework is used to establish a simulation model of oil painting strokes, and weighted least squares filtering is used to extract the edges of the strokes and realize the rendering of oil painting strokes. Based on the model training, simulation analysis and subjective research are carried out, and the results show that the oil painting stroke simulation model scores better on the FID and LPIPS indexes, and the model rendering efficiency is faster, and more than 80% of the users are satisfied with the oil painting stroke simulation results. Therefore, combining AI technology with traditional techniques of oil painting can provide new methods for innovative oil painting strokes, and can also present diverse oil painting techniques through new forms, helping painters to generate more innovative inspiration for oil painting.
