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…
Rendering Point Clouds with Compute Shaders and Vertex Order Optimization
Markus Schütz, Bernhard Kerbl, Michael Wimmer
While commodity GPUs provide a continuously growing range of features and sophisticated methods for accelerating compute jobs, many state-of-the-art solutions for point cloud rende…