Innovative Techniques for 3D Model Optimization in the Metaverse

摘要

3D models are essential components in creating a realistic metaverse and providing a good user experience. However, the large file sizes of 3D models often lead to challenges in storage, transmission, and real-time rendering. Therefore, reducing the size of 3D model files during the production process is a key solution to these problems. This research aims to (1) explore methods to optimize 3D models and propose add-ons for 3D modeling software, and (2) compare the effectiveness of these optimization methods. The researchers selected three optimization techniques to evaluate their performance based on key indicators including file size (MB), total vertices, unique materials, batches/draw calls, materials count, and memory usage (KB). The analysis revealed that the Create UV Map Technique combined with Texture Atlas by Merging Material Types into a Single Unit was the most effective method. This technique was then implemented to develop a Blender add-on. The add-on’s performance was tested and compared against models created without it using comparative factors such as file size (KB), mesh vertices, unique materials, batches/draw calls, materials count, and materials memory usage (KB). The comparison showed that models using the add-on had significantly better performance with statistical significance at the 0.01 level.