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cs.CV2025

The Impact and Outlook of 3D Gaussian Splatting

Bernhard Kerbl

Since its introduction, 3D Gaussian Splatting (3DGS) has rapidly transformed the landscape of 3D scene representations, inspiring an extensive body of associated research. Follow-u…

cs.CV2025

On-the-fly Reconstruction for Large-Scale Novel View Synthesis from Unposed Images

Andreas Meuleman, Ishaan Shah, Alexandre Lanvin +2

Radiance field methods such as 3D Gaussian Splatting (3DGS) allow easy reconstruction from photos, enabling free-viewpoint navigation. Nonetheless, pose estimation using Structure…

cs.CV2024

Reducing the Memory Footprint of 3D Gaussian Splatting

Panagiotis Papantonakis, Georgios Kopanas, Bernhard Kerbl +2

3D Gaussian splatting provides excellent visual quality for novel view synthesis, with fast training and real-time rendering; unfortunately, the memory requirements of this method…

cs.CV2024

Taming 3DGS: High-Quality Radiance Fields with Limited Resources

Saswat Subhajyoti Mallick, Rahul Goel, Bernhard Kerbl +3

3D Gaussian Splatting (3DGS) has transformed novel-view synthesis with its fast, interpretable, and high-fidelity rendering. However, its resource requirements limit its usability.…

cs.CV2024

A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets

Bernhard Kerbl, Andréas Meuleman, Georgios Kopanas +3

Novel view synthesis has seen major advances in recent years, with 3D Gaussian splatting offering an excellent level of visual quality, fast training and real-time rendering. Howev…