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/.

本研究解决了计算机图形学中实时渲染动态场景及视角依赖效果的难题。提出的7D高斯点云技术（7DGS）通过高效的条件切片机制，将七维高斯表示转化为视角和时间条件的三维高斯，实现了动态场景与视角依赖效果的统一优化。实验结果表明，7DGS在困难的动态场景中，反映出显著的性能提升，并达到实时渲染的能力。

7DGS：统一的空间-时间-角度高斯点云技术