Isotropic Gaussian Splatting for Real-Time Radiance Field Rendering

arXiv:2403.14244v1 Announce Type: cross
Abstract: The 3D Gaussian splatting method has drawn a lot of attention, thanks to its high performance in training and high quality of the rendered image. However, it uses anisotropic Gaussian kernels to represent the scene. Although such anisotropic kernels have advantages in representing the geometry, they lead to difficulties in terms of computation, such as splitting or merging two kernels. In this paper, we propose to use isotropic Gaussian kernels to avoid such difficulties in …

abstract advantages arxiv attention cs.ai cs.cv cs.lg eess.iv geometry however image performance quality real-time rendering training type