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3D重建和染的趋势和技术:3D重建和染的趋势和技术:3D重建和染的趋势和技术:3D重建和染的趋势和技术:3D重建的趋势和技术:3D重建的趋势和技术:3D重建的趋势:3D重建的趋势:3D重建的趋势:3D重建的趋势:3D重建的趋势:3D重
Wenhe Chen1, Zikai Li1, Jingru Guo2
1School of Computer Engineering, Jiangsu University of Technology, Changzhou 213001, China.
Sensors (Basel, Switzerland)
|June 27, 2025
概括
三维高斯分片 (3DGS) 加快了3D形状估计和没有神经网络的新视图合成. 本综述调查了3DGS,其应用,以及计算机图形和3D视觉的未来研究方向.
科学领域:
- 计算机图形 计算机图形
- 3D视觉视觉 3D视觉视觉是什么?
- 机器人技术 机器人技术 机器人技术
- 虚拟现实和增强现实
背景情况:
- 三维高斯分片 (3DGS) 是一种用于快速新视图合成的新技术.
- 它可以实时进行3D形状估计,而不依赖神经网络.
- 3DGS已经在机器人和AR/VR等多个领域获得了显著的吸引力.
研究的目的:
- 为了提供一个全面的系统审查的三维高斯斯裂纹 (3DGS).
- 概述3D重建和染的历史发展和最近的进展.
- 确定当前的挑战,并建议未来的3D视觉研究途径.
主要方法:
- 文献调查侧重于3D重建和染技术.
- 在3DGS中分析基础和创新驱动的视角.
- 在现场使用的常见数据集和评估指标的摘要.
主要成果:
- 3DGS提供加速染,用于新的视图合成.
- 该技术可方便实时3D形状估计,这对于各种应用至关重要.
- 对现有文献,数据集和指标的审查提供了对3DGS的基本理解.
结论:
- 3DGS代表了实时3D视觉和图形的重大进步.
- 需要进一步的研究来应对当前的挑战,并释放3DGS的全部潜力.
- 这项调查对3D重建和染的研究人员来说是一个宝贵的资源.
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