Exploring 3D Gaussian Splatting: An Algorithmic Perspective

3D scene representation has long been a challenge in computer graphics and computer vision. 3D Gaussian Splat-ting, with its explicit scene representation and differentiable rendering algorithm promises not only the possibility of real-time scene rendering, but also introduces an unprecedented level of editability. These characteristics position 3D Gaussian Splatting as a groundbreaking solution for a new generation of 3D reconstruction methods. This paper explores the technical aspects of 3D Gaussian Splatting, highlighting its potential to revolutionize fields such as computer graphics, virtual reality, and augmented reality.

Authors

Institutions

Publication Details

Published
2024-09-16
DOI
https://doi.org/10.1109/elmar62909.2024.10693978
Citations
2
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring 3D Gaussian Splatting: An Algorithmic Perspective

Gregor Rozinaj, Martin Hornáček
2 citations
Industrial Vision Systems and Defect Detection
0.70
article

Exploring 3D Gaussian Splatting: An Algorithmic Perspective

Gregor Rozinaj, Martin Hornáček
article en
2 citations

Abstract

3D scene representation has long been a challenge in computer graphics and computer vision. 3D Gaussian Splat-ting, with its explicit scene representation and differentiable rendering algorithm promises not only the possibility of real-time scene rendering, but also introduces an unprecedented level of editability. These characteristics position 3D Gaussian Splatting as a groundbreaking solution for a new generation of 3D reconstruction methods. This paper explores the technical aspects of 3D Gaussian Splatting, highlighting its potential to revolutionize fields such as computer graphics, virtual reality, and augmented reality.

Slovak University of Technology in Bratislava (SK)
Openalex Percentile: Top 26%
Industrial Vision Systems and Defect Detection
0.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.