2024-02-28 | Tong Wu, Yu-Jie Yuan, Ling-Xiao Zhang, Jie Yang, Yan-Pei Cao, Ling-Qi Yan, and Lin Gao
The paper "Recent Advances in 3D Gaussian Splatting" by Tong Wu et al. reviews the recent developments in 3D Gaussian Splatting (3DGS), a technique that models 3D scenes using Gaussian ellipsoids for efficient rendering. Unlike Neural Radiance Fields (NeRF), which use neural networks to represent scenes, 3DGS employs explicit representations, making it faster and more suitable for downstream tasks such as dynamic reconstruction, geometry editing, and physical simulation. The review covers traditional point-based rendering methods and the 3DGS formulation, highlighting its advantages in speed and quality. It also discusses recent advancements in 3DGS, including methods for improving rendering quality, dynamic scene reconstruction, and applications in digital humans. The paper aims to provide a comprehensive overview for beginners and experienced researchers, fostering future developments in 3D Gaussian Splatting.The paper "Recent Advances in 3D Gaussian Splatting" by Tong Wu et al. reviews the recent developments in 3D Gaussian Splatting (3DGS), a technique that models 3D scenes using Gaussian ellipsoids for efficient rendering. Unlike Neural Radiance Fields (NeRF), which use neural networks to represent scenes, 3DGS employs explicit representations, making it faster and more suitable for downstream tasks such as dynamic reconstruction, geometry editing, and physical simulation. The review covers traditional point-based rendering methods and the 3DGS formulation, highlighting its advantages in speed and quality. It also discusses recent advancements in 3DGS, including methods for improving rendering quality, dynamic scene reconstruction, and applications in digital humans. The paper aims to provide a comprehensive overview for beginners and experienced researchers, fostering future developments in 3D Gaussian Splatting.