TauBench 1.1

TauBench 1.1是由芬兰坦佩雷大学开发的一个动态图形渲染基准数据集，旨在评估和提升基于时间复用算法的渲染性能。该数据集包含两个动态基准场景：‘Eternal Valley FPS’和‘Eternal Valley VR’，适用于测试具有快速摄像机移动和复杂动画的场景。TauBench 1.1通过优化数据集大小，显著减少了加载和渲染时间，提高了与3D软件的兼容性。数据集创建过程中，解决了原始版本中文件过大的问题，通过分离独特的网格并利用Blender的粒子系统重新分布，有效减少了文件大小。TauBench 1.1主要应用于图形渲染领域，特别是针对实时游戏和虚拟现实应用中的渲染算法优化，旨在通过时间复用技术提高渲染效率和质量。

TauBench 1.1 is a dynamic graphics rendering benchmark dataset developed by Tampere University, Finland, intended to evaluate and enhance rendering performance of algorithms leveraging time-multiplexing techniques. This dataset comprises two dynamic benchmark scenarios: "Eternal Valley FPS" and "Eternal Valley VR", which are tailored for testing scenes featuring rapid camera movements and complex animations. TauBench 1.1 achieves notable reductions in loading and rendering time while improving compatibility with 3D software, thanks to optimized dataset sizing. During the dataset's development, the problem of excessively large file sizes in the original version was addressed: unique meshes were separated and redistributed using Blender's particle system, which effectively reduced the overall file size. Primarily deployed in the graphics rendering domain, TauBench 1.1 targets the optimization of rendering algorithms for real-time gaming and virtual reality applications, with the core goal of boosting both rendering efficiency and quality via time-multiplexing technologies.