G-SHARP：高斯手术硬件加速实时流程
G-SHARP: Gaussian Surgical Hardware Accelerated Real-time Pipeline
AI总结：
本文提出G-SHARP，一种兼容商业应用的实时手术场景重建框架，用于需要快速准确3D建模的微创手术。该框架基于GSplat可微高斯光栅化器，实现了原理上的变形建模和鲁棒遮挡处理，适用于EndoNeRF基准测试。
摘要：
我们提出G-SHARP，一种兼容商业应用的实时手术场景重建框架，设计用于需要快速且准确的3D变形组织建模的微创手术。尽管最近的高斯散射方法在实时内窥镜重建方面有所进展，但现有实现通常依赖非商业衍生版本，限制了部署性。G-SHARP通过成为首个原生基于GSplat（Apache-2.0）可微高斯光栅化器的手术流程，克服了这些限制，实现了原理上的变形建模、鲁棒的遮挡处理以及在EndoNeRF基准测试中高保真的重建。我们的结果展示了最先进的重建质量，具有适合术中使用的强速度-精度权衡。最后，我们提供了一个Holoscan SDK应用程序，将G-SHARP部署在NVIDIA IGX Orin和Thor边缘硬件上，实现了在实际手术室环境中的实时手术可视化。
英文摘要：
We propose G-SHARP, a commercially compatible, real-time surgical scene reconstruction framework designed for minimally invasive procedures that require fast and accurate 3D modeling of deformable tissue. While recent Gaussian splatting approaches have advanced real-time endoscopic reconstruction, existing implementations often depend on non-commercial derivatives, limiting deployability. G-SHARP overcomes these constraints by being the first surgical pipeline built natively on the GSplat (Apache-2.0) differentiable Gaussian rasterizer, enabling principled deformation modeling, robust occlusion handling, and high-fidelity reconstructions on the EndoNeRF pulling benchmark. Our results demonstrate state-of-the-art reconstruction quality with strong speed-accuracy trade-offs suitable for intra-operative use. Finally, we provide a Holoscan SDK application that deploys G-SHARP on NVIDIA IGX Orin and Thor edge hardware, enabling real-time surgical visualization in practical operating-room settings.
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。
