统一动态场景与视角依赖效果的实时渲染方法
7DGS: Unified Spatial-Temporal-Angular Gaussian Splatting
- 用7维高斯表示时空视角信息，实现一体化建模
- 在复杂动态场景中达到401帧/秒，峰值信噪比提升7.36dB
- 适合需要实时渲染的虚拟现实、游戏开发场景
实时渲染具有视角依赖效应的动态场景仍是计算机图形学中的基础挑战。尽管近期高斯点阵技术在分别处理动态场景（4DGS）和视角依赖效应（6DGS）方面取得进展，但尚无方法能统一两者能力的同时保持实时性能。本文提出7维高斯点阵（7DGS），将场景元素表示为涵盖位置（3D）、时间（1D）和观察方向（3D）的七维高斯分布。关键贡献在于一种高效的条件切片机制，可将7维高斯转换为视图和时间相关的3维高斯，兼容现有3维高斯点阵流程并支持联合优化。实验表明，7DGS在具有复杂视角依赖效应的挑战性动态场景中，相比以往方法峰值信噪比最高提升7.36 dB，同时实现401帧/秒的实时渲染性能。
原文摘要 · Abstract (English)
Real-time rendering of dynamic scenes with view-dependent effects remains a fundamental challenge in computer graphics. While recent advances in Gaussian Splatting have shown promising results separately handling dynamic scenes (4DGS) and view-dependent effects (6DGS), no existing method unifies these capabilities while maintaining real-time performance. We present 7D Gaussian Splatting (7DGS), a unified framework representing scene elements as seven-dimensional Gaussians spanning position (3D), time (1D), and viewing direction (3D). Our key contribution is an efficient conditional slicing mechanism that transforms 7D Gaussians into view- and time-conditioned 3D Gaussians, maintaining compatibility with existing 3D Gaussian Splatting pipelines while enabling joint optimization. Experiments demonstrate that 7DGS outperforms prior methods by up to 7.36 dB in PSNR while achieving real-time rendering (401 FPS) on challenging dynamic scenes with complex view-dependent effects. The project page is: https://gaozhongpai.github.io/7dgs/.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。