DNN-Based Forensic Watermark Tracking System for Realistic Content Copyright Protection

The metaverse-related content market is active and the demand for immersive increasing. However, there no definition granting copyrights to produced using artificial intelligence discussions are still ongoing. We expect that need copyright protection used in metaverse environment will emerge related techniques be required. In this paper, we present idea of 3D-to-2D watermarking so creators can protect available environment. propose an a deep neural network (DNN), composed multiple hidden layers, forensic watermark.