Article: Innovative design of ceramic products based on extension reasoning and generative adversarial networks Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.38 pp.75 - 90 Abstract: This paper proposes a novel framework integrating extension reasoning with generative adversarial networks to address rigid cultural element expression in ceramic product design. The methodology comprises three innovations: 1) a primitive model analysing object-element, relation-element, and feature-element for topological pattern transformation; 2) multimodal fusion of geometric features, chromatic attributes quantified by GIE-Lab values, and semantic associations; 3) a lightweight network optimised with leaky rectified linear unit activation and Adam optimiser, achieving 30% faster convergence than stochastic gradient descent. Experiments on 3,262 Jingdezhen ceramic images demonstrate superior performance with inception score 5.7 and Fréchet inception distance 2.13, outperforming autoencoder (2.3/5.61), variational autoencoder (3.8/4.54), and deep convolutional generative adversarial network (4.6/5.22). The framework enhances design efficiency by eight times compared to manual processes, validated through Kano model analysis with 89% user satisfaction. This work establishes a technical paradigm for intelligent modernisation of traditional craftsmanship. Inderscience Publishers - linking academia, business and industry through research

Title: Innovative design of ceramic products based on extension reasoning and generative adversarial networks

Authors: Zhijun Meng; Leiming Zhu; Gao Chen

Addresses: Faculty of Humanities and Arts, Macau University of Science and Technology, Macao 999078, China ' Design College, Wenzhou Polytechnic, Wenzhou 325035, China ' Management Department, University of Otago, Dunedin 9016, New Zealand

Abstract: This paper proposes a novel framework integrating extension reasoning with generative adversarial networks to address rigid cultural element expression in ceramic product design. The methodology comprises three innovations: 1) a primitive model analysing object-element, relation-element, and feature-element for topological pattern transformation; 2) multimodal fusion of geometric features, chromatic attributes quantified by GIE-Lab values, and semantic associations; 3) a lightweight network optimised with leaky rectified linear unit activation and Adam optimiser, achieving 30% faster convergence than stochastic gradient descent. Experiments on 3,262 Jingdezhen ceramic images demonstrate superior performance with inception score 5.7 and Fréchet inception distance 2.13, outperforming autoencoder (2.3/5.61), variational autoencoder (3.8/4.54), and deep convolutional generative adversarial network (4.6/5.22). The framework enhances design efficiency by eight times compared to manual processes, validated through Kano model analysis with 89% user satisfaction. This work establishes a technical paradigm for intelligent modernisation of traditional craftsmanship.

Keywords: extension reasoning; generative adversarial network; ceramic cultural and creative product design.

DOI: 10.1504/IJICT.2025.149292

International Journal of Information and Communication Technology, 2025 Vol.26 No.38, pp.75 - 90

Received: 19 Jul 2025
Accepted: 02 Sep 2025
Published online: 22 Oct 2025 *

Title: Innovative design of ceramic products based on extension reasoning and generative adversarial networks

Keep up-to-date