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 (3D GS) has recently emerged as a transformative technique in the
explicit radiance field and computer graphics landscape. This innovative approach …

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 (3DGS) has demonstrated impressive novel view synthesis results
while advancing real-time rendering performance. However, it relies heavily on the quality of …

The recent 3D Gaussian splatting (3D-GS) has shown remarkable rendering fidelity and
efficiency compared to NeRF-based neural scene representations. While demonstrating the …

In this paper, we address the limitations of Adaptive Density Control (ADC) in 3D Gaussian
Splatting (3DGS), a scene representation method achieving high-quality, photorealistic …

This paper tackles the intricate challenge of object removal to update the radiance field
using the 3D Gaussian Splatting. The main challenges of this task lie in the preservation of …

Image-based 3D reconstruction is a challenging task that involves inferring the 3D shape of
an object or scene from a set of input images. Learning-based methods have gained …

As large language models (LLMs) evolve, their integration with 3D spatial data (3D-LLMs)
has seen rapid progress, offering unprecedented capabilities for understanding and …