3 citations · 10 across the 6 of their papers we have counts for
7 papers
Does 3D Gaussian Splatting Need Accurate Volumetric Rendering?
Adam Celarek, George Kopanas, George Drettakis +2
Since its introduction, 3D Gaussian Splatting (3DGS) has become an important reference method for learning 3D representations of a captured scene, allowing real-time novel-view syn…
Cinematic Gaussians: Real-Time HDR Radiance Fields with Depth of Field
Chao Wang, Krzysztof Wolski, Bernhard Kerbl +5
Radiance field methods represent the state of the art in reconstructing complex scenes from multi-view photos. However, these reconstructions often suffer from one or both of the f…
Training and Predicting Visual Error for Real-Time Applications
João Libório Cardoso, Bernhard Kerbl, Lei Yang +2
Visual error metrics play a fundamental role in the quantification of perceived image similarity. Most recently, use cases for them in real-time applications have emerged, such as…
GPU-Accelerated LOD Generation for Point Clouds
Markus Schütz, Bernhard Kerbl, Philip Klaus +1
About: We introduce a GPU-accelerated LOD construction process that creates a hybrid voxel-point-based variation of the widely used layered point cloud (LPC) structure for LOD rend…
Software Rasterization of 2 Billion Points in Real Time
Markus Schütz, Bernhard Kerbl, Michael Wimmer
We propose a software rasterization pipeline for point clouds that is capable of brute-force rendering up to two billion points in real time (60fps). Improvements over the state of…
Gaussian Mixture Convolution Networks
Adam Celarek, Pedro Hermosilla, Bernhard Kerbl +2
This paper proposes a novel method for deep learning based on the analytical convolution of multidimensional Gaussian mixtures. In contrast to tensors, these do not suffer from the…