为3D高斯点阵压缩提供标准化评测工具
Splatwizard: A Benchmark Toolkit for 3D Gaussian Splatting Compression
- 构建统一框架，支持新模型快速实现与评估
- 自动计算图像质量、渲染帧率、内存消耗等指标
- 适合研究3D高斯压缩的开发者与算法对比者
3D高斯点阵（3DGS）在实时新视角合成中取得突破，但相关算法快速涌现，亟需标准化评测工具，尤其针对压缩任务。现有基准缺乏全面评估指标，如渲染速度、率失真权衡、内存效率和几何精度。为此，我们提出Splatwizard，一个专为3DGS压缩模型设计的统一评测工具包。它提供易用框架，支持新模型实现与前沿技术集成，并内置自动化流水线，可计算图像质量指标、重建网格的切比雪夫距离、渲染帧率及计算资源消耗。代码已开源。
原文摘要 · Abstract (English)
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
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