Research on the Impact of Tactile Interaction Paradigm on the Controllability of Visual Generation Creativity in AIGC

Read full text
Authors: Z. Y. Zhang, Xinran Sun, Yongjia Yu, Xinning Wang
Cited by: 0

Abstract

The current visual generation paradigm of artificial intelligence-generated content (AIGC) based on the denoising diffusion probabilistic model (DDPM) faces a controllability crisis. This paper proposes a novel haptic interaction paradigm. Quantitative evaluations show that this method significantly outperforms existing visual-guided baselines in terms of physical consistency scores. This paradigm significantly enhances the creativity support by offloading cognitive load.

Fields of Study & Subjects

Interactive and Immersive Displays Generative Adversarial Networks and Image Synthesis Digital Media and Visual Art

Publication details

Journal / source
Applied and Computational Engineering
Volume
219
Issue
1
Pages
166–172
Publication date
10 February 2026
Language
EN