Splatwizard：3D高斯散射压缩的基准工具包
Splatwizard: A Benchmark Toolkit for 3D Gaussian Splatting Compression
AI总结：
Splatwizard是一个专门用于评估3D高斯散射压缩模型的基准工具包，提供统一框架和自动化性能指标计算，用于评估渲染速度、率失真权衡、内存效率和几何准确性等关键指标。
摘要：
最近3D高斯散射（3DGS）的出现标志着实时新视角合成的重大突破。然而，3DGS基于算法的快速普及产生了对标准化和全面评估工具的迫切需求，尤其是压缩任务。现有基准测试工具往往缺乏评估不同方法独特特征所需的特定指标，例如渲染速度、率失真权衡、内存效率和几何准确性。为了解决这一缺口，我们引入了Splatwizard，一个专门用于评估3DGS压缩模型的统一基准工具包。Splatwizard提供了一个易于使用的框架，用于实现新的3DGS压缩模型并利用先前工作的最新技术。此外，框架中包含一个集成交付管道，自动化计算关键性能指标，包括基于图像的质量度量、重建网格的偏差距离、渲染帧率和计算资源消耗。代码可在https://github.com/splatwizard/splatwizard获取。
英文摘要：
The recent advent of 3D Gaussian Splatting (3DGS) has marked a significant breakthrough in real-time novel view synthesis. However, the rapid proliferation of 3DGS-based algorithms has created a pressing need for standardized and comprehensive evaluation tools, especially for compression task. Existing benchmarks often lack the specific metrics necessary to holistically assess the unique characteristics of different methods, such as rendering speed, rate distortion trade-offs memory efficiency, and geometric accuracy. To address this gap, we introduce Splatwizard, a unified benchmark toolkit designed specifically for benchmarking 3DGS compression models. Splatwizard provides an easy-to-use framework to implement new 3DGS compression model and utilize state-of-the-art techniques proposed by previous work. Besides, an integrated pipeline that automates the calculation of key performance indicators, including image-based quality metrics, chamfer distance of reconstruct mesh, rendering frame rates, and computational resource consumption is included in the framework as well. Code is available at https://github.com/splatwizard/splatwizard
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
