AI-driven digital sculpture design: optimising fusion algorithms with deep learning and virtual reality

The assimilation of artificial intelligence (AI) and machine-learning techniques within digital modelling has provided a new perspective on design in sculpture besides offering capabilities that can be harnessed for an artistic agenda with an unsurpassed level of efficacy and speed. This study is focused on digital modelling using virtual reality (VR) technology in the field of sculptures, and it aims to improve the algorithms of fusion programs using deep learning techniques. In this research, we have improved our ability to create digital sculptures more accurately and flexibly by taking advantage of techniques such as neural networks, adversarial models, and reinforcement learning. The proposed AI-VR model outperforms traditional and baseline models, achieving 92% model fidelity, 45 frames per second (FPS) rendering speed, and a user interaction score of 90. This framework paves the way for the future of AI-powered artistic innovation.