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 …

In this paper, we present an implicit surface reconstruction method with 3D Gaussian
Splatting (3DGS), namely 3DGSR, that allows for accurate 3D reconstruction with intricate …

Recently, 3D Gaussian Splatting (3DGS) has demonstrated impressive novel view synthesis
results, while allowing the rendering of high-resolution images in real-time. However …

While surface-based view synthesis algorithms are appealing due to their low computational
requirements, they often struggle to reproduce thin structures. In contrast, more expensive …

Recently, 3D Gaussian Splatting (3DGS) has attracted widespread attention due to its high-
quality rendering, and ultra-fast training and rendering speed. However, due to the …

Radiance field methods have achieved photorealistic novel view synthesis and geometry
reconstruction. But they are mostly applied in per-scene optimization or small-baseline …

We present latentSplat, a method to predict semantic Gaussians in a 3D latent space that
can be splatted and decoded by a light-weight generative 2D architecture. Existing methods …

High-fidelity 3D reconstruction of common indoor scenes is crucial for VR and AR
applications. 3D Gaussian splatting, a novel differentiable rendering technique, has …