The emergence of 3D Gaussian splatting (3DGS) has greatly accelerated rendering in novel
view synthesis. Unlike neural implicit representations like neural radiance fields (NeRFs) …

3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of
Computer Graphics, offering explicit scene representation and novel view synthesis without …

3D Gaussian splatting (GS) has recently emerged as a transformative technique in the realm
of explicit radiance field and computer graphics. This innovative approach, characterized by …

The advancement of real-time 3D scene reconstruction and novel view synthesis has been
significantly propelled by 3D Gaussian Splatting (3DGS). However, effectively training large …

Abstract 3D Gaussian Splatting (3DGS) has demonstrated impressive novel view synthesis
results and advancing real-time rendering performance. However, the effectiveness of 3DGS …

Abstract 3D Gaussian Splatting (3DGS) has emerged as a promising framework for novel
view synthesis, boasting rapid rendering speed with high fidelity. However, the substantial …

In this study, we explore the challenge of efficiently representing scenes with a constrained
number of Gaussians. Our analysis shifts from traditional graphics and 2D computer vision to …

Novel view synthesis from unconstrained in-the-wild images remains a meaningful but
challenging task. The photometric variation and transient occluders in those unconstrained …

3D Gaussian Splatting (3DGS) has recently revolutionized the field of neural rendering with
its high fidelity and efficiency. However, 3DGS heavily depends on the initialized point cloud …

This paper introduces OpenGaussian, a method based on 3D Gaussian Splatting (3DGS)
that possesses the capability for 3D point-level open vocabulary understanding. Our primary …