Article: Analysis of the effect of computer graphics algorithms in reproducing ink painting style in animation Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.11 pp.38 - 52 Abstract: Modern animation has adopted ink painting as an expressive medium thanks to its original presenting methods and artistic results. A major difficulty in the world of computer graphics is how to replicate the creative style of ink painting in dynamic animation, notably to preserve its brush strokes, halo effect and ink intensity fluctuations. Aiming at duplicating the artistry of ink painting in dynamic situations through image processing and animation generation techniques, we present in this work a method to imitate the style of ink painting based on computer graphics algorithms and introduce graph neural network (GNN). According to the experimental results, the suggested approach can handle style transitions in animation sequences in addition to realising ink painting style migration on stationary images. At last, this work examines the restrictions of the technology and offers recommendations for further paths of ink painting style reproduction. Inderscience Publishers - linking academia, business and industry through research

Title: Analysis of the effect of computer graphics algorithms in reproducing ink painting style in animation

Authors: Miaobo Chu; Hao Liu

Addresses: School of Design, Jianghan University, Wuhan 430056, China ' School of Artificial Intelligence, Jianghan University, Wuhan 430056, China

Abstract: Modern animation has adopted ink painting as an expressive medium thanks to its original presenting methods and artistic results. A major difficulty in the world of computer graphics is how to replicate the creative style of ink painting in dynamic animation, notably to preserve its brush strokes, halo effect and ink intensity fluctuations. Aiming at duplicating the artistry of ink painting in dynamic situations through image processing and animation generation techniques, we present in this work a method to imitate the style of ink painting based on computer graphics algorithms and introduce graph neural network (GNN). According to the experimental results, the suggested approach can handle style transitions in animation sequences in addition to realising ink painting style migration on stationary images. At last, this work examines the restrictions of the technology and offers recommendations for further paths of ink painting style reproduction.

Keywords: computer graphics; graph neural network; GNN; animation; ink painting style.

DOI: 10.1504/IJICT.2025.146105

International Journal of Information and Communication Technology, 2025 Vol.26 No.11, pp.38 - 52

Received: 11 Mar 2025
Accepted: 22 Mar 2025
Published online: 06 May 2025 *

Title: Analysis of the effect of computer graphics algorithms in reproducing ink painting style in animation

Keep up-to-date