Article: Deep learning-driven real-time rendering technology for film and television animation special effects Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.33 pp.57 - 75 Abstract: Real-time rendering of film and television animation special effects meets the necessity to increase rendering efficiency and image quality with the advent of deep learning (DL) technologies. When handling complicated dynamic effects, conventional rendering techniques still struggle with long rendering times and unsteady image quality. This work proposes a DL-based optimisation technique to enhance the efficiency and image quality of dynamic effects generating using DL model. Compared with the conventional physics simulation rendering and particle system rendering, the experimental results show that the DL optimised rendering method not only greatly lowers the rendering time but also improves the image quality, especially in terms of detail performance and texture authenticity. This article presents future optimisation directions and offers a fast and high-quality solution for real-time rendering of film and television animation special effects. Inderscience Publishers - linking academia, business and industry through research

Title: Deep learning-driven real-time rendering technology for film and television animation special effects

Authors: Yuqi Tian; Fangqi Yang

Addresses: School of Medias, Weinan Normal University, Weinan 714000, China ' School of Computer Science, Weinan Normal University, Weinan 714000, China

Abstract: Real-time rendering of film and television animation special effects meets the necessity to increase rendering efficiency and image quality with the advent of deep learning (DL) technologies. When handling complicated dynamic effects, conventional rendering techniques still struggle with long rendering times and unsteady image quality. This work proposes a DL-based optimisation technique to enhance the efficiency and image quality of dynamic effects generating using DL model. Compared with the conventional physics simulation rendering and particle system rendering, the experimental results show that the DL optimised rendering method not only greatly lowers the rendering time but also improves the image quality, especially in terms of detail performance and texture authenticity. This article presents future optimisation directions and offers a fast and high-quality solution for real-time rendering of film and television animation special effects.

Keywords: DL; film and television animation; special effects rendering; real-time rendering.

DOI: 10.1504/IJICT.2025.148653

International Journal of Information and Communication Technology, 2025 Vol.26 No.33, pp.57 - 75

Received: 28 Jun 2025
Accepted: 23 Jul 2025
Published online: 17 Sep 2025 *

Title: Deep learning-driven real-time rendering technology for film and television animation special effects

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