Synthesizing 3D VR Sketch Using Generative Adversarial Neural Network
Wanwan Li · 2023
Virtual Reality (VR) has gained significant attention in recent years as an immersive technology that enables users to interact with computer-generated environments. One essential component of VR experiences is the availability of 3D content, which can be time-consuming and labor-intensive to create. In this paper, we propose a novel approach for synthesizing 3D VR sketches using Generative Adversarial Neural Networks (GANs). By leveraging the power of GANs, our method allows for the automatic generation of high-quality creative 3D VR sketches, thereby reducing the burden on content creators and exploring the possibilities of VR content creation using Artificial Intelligence (AI) technologies.