Recent advancements in 3D reconstruction from single images have been driven by the
evolution of generative models. Prominent among these are methods based on Score …

Novel view synthesis for dynamic scenes is still a challenging problem in computer vision
and graphics. Recently Gaussian splatting has emerged as a robust technique to represent …

3D Gaussian Splatting (3DGS) has emerged as a prominent technique with the potential to
become a mainstream method for 3D representations. It can effectively transform multi-view …

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 …

Abstract 3D Gaussian Splatting (3DGS) represents a significant breakthrough in computer
graphics and vision, offering an explicit scene representation and novel view synthesis …

Abstract Recently, 3D Gaussian Splatting (3DGS) has emerged as an efficient approach for
accurately representing scenes. However, despite its superior novel view synthesis …

This work introduces FlashGS, an open-source CUDA Python library, designed to facilitate
the efficient differentiable rasterization of 3D Gaussian Splatting through algorithmic and …

In this paper, we introduce\textbf {DimensionX}, a framework designed to generate
photorealistic 3D and 4D scenes from just a single image with video diffusion. Our approach …

We present a spatial and angular Gaussian based representation and a triple splatting
process, for real-time, high-quality novel lighting-and-view synthesis from multi-view point-lit …