A Survey on 3D Gaussian Splatting

Understand

3D Gaussian splatting (GS) has emerged as a transformative technique in radiance fields.

• Unlike mainstream implicit neural models, 3D GS uses millions of learnable 3D Gaussians for an explicit scene representation.
• Paired with a differentiable rendering algorithm, this approach achieves real-time rendering and unprecedented editability, making it a potential game-changer for 3D reconstruction and representation.
• In the present paper, we provide the first systematic overview of the recent developments and critical contributions in 3D GS.