activity
20212026
most citedReducing the Memory Footprint of 3D Gaussian Splatting

114 citations · 235 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2026

SteadySplats: Resampling of Low-Variance Gaussians for High-Fidelity Stochastic Rendering

Felix Windisch, Thomas Köhler, Lukas Radl +5

Stochastic order-independent transparency enables efficient and elegant rendering of primitive-based radiance fields like 3D Gaussian Splatting models, but remains impractical due…

cs.CV2025

Content-Aware Texturing for Gaussian Splatting

Panagiotis Papantonakis, Georgios Kopanas, Fredo Durand +1

Gaussian Splatting has become the method of choice for 3D reconstruction and real-time rendering of captured real scenes. However, fine appearance details need to be represented as…

cs.CV2024★ 114 cited

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

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…

cs.CV2024★ 8 cited

N-Dimensional Gaussians for Fitting of High Dimensional Functions

Stavros Diolatzis, Tobias Zirr, Alexandr Kuznetsov +2

In the wake of many new ML-inspired approaches for reconstructing and representing high-quality 3D content, recent hybrid and explicitly learned representations exhibit promising p…

cs.CV2023★ 2 cited

Improving NeRF Quality by Progressive Camera Placement for Unrestricted Navigation in Complex Environments

Georgios Kopanas, George Drettakis

Neural Radiance Fields, or NeRFs, have drastically improved novel view synthesis and 3D reconstruction for rendering. NeRFs achieve impressive results on object-centric reconstruct…

cs.CV2023★ 5 cited

Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis

Jonathon Luiten, Georgios Kopanas, Bastian Leibe +1

We present a method that simultaneously addresses the tasks of dynamic scene novel-view synthesis and six degree-of-freedom (6-DOF) tracking of all dense scene elements. We follow…

cs.GR2023★ 33 cited

3D Gaussian Splatting for Real-Time Radiance Field Rendering

Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler +1

Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires ne…

cs.GR2023★ 73 cited

Neural Point Catacaustics for Novel-View Synthesis of Reflections

Georgios Kopanas, Thomas Leimkühler, Gilles Rainer +2

View-dependent effects such as reflections pose a substantial challenge for image-based and neural rendering algorithms. Above all, curved reflectors are particularly hard, as they…

cs.CV2021

Point-Based Neural Rendering with Per-View Optimization

Georgios Kopanas, Julien Philip, Thomas Leimkühler +1

There has recently been great interest in neural rendering methods. Some approaches use 3D geometry reconstructed with Multi-View Stereo (MVS) but cannot recover from the errors of…