6 citations · 8 across the 10 of their papers we have counts for
11 papers
Comparing Commercial Depth Sensor Accuracy for Medical Applications
Pit Henrich, Maximilian Weiherer, Franziska Hansen +2
Depth estimation has numerous medical and surgical applications. We benchmark four depth sensors on a porcine bone specimen, a porcine belly specimen, and a silicone kidney phantom…
Learning Neural Parametric 3D Breast Shape Models for Metrical Surface Reconstruction From Monocular RGB Videos
Maximilian Weiherer, Antonia von Riedheim, Vanessa Brébant +2
We present a neural parametric 3D breast shape model and, based on this model, introduce a low-cost and accessible 3D surface reconstruction pipeline capable of recovering accurate…
Towards Integrating Multi-Spectral Imaging with Gaussian Splatting
Josef Grün, Lukas Meyer, Maximilian Weiherer +3
We present a study of how to integrate color (RGB) and multi-spectral imagery (red, green, red-edge, and near-infrared) into the 3D Gaussian Splatting (3DGS) framework, a state-of-…
Multi-Spectral Gaussian Splatting with Neural Color Representation
Lukas Meyer, Josef Grün, Maximilian Weiherer +3
We present MS-Splatting -- a multi-spectral 3D Gaussian Splatting (3DGS) framework that is able to generate multi-view consistent novel views from images of multiple, independent c…
iRBSM: A Deep Implicit 3D Breast Shape Model
Maximilian Weiherer, Antonia von Riedheim, Vanessa Brébant +2
We present the first deep implicit 3D shape model of the female breast, building upon and improving the recently proposed Regensburg Breast Shape Model (RBSM). Compared to its PCA-…
Matérn Kernels for Tunable Implicit Surface Reconstruction
Maximilian Weiherer, Bernhard Egger
We propose to use the family of Matérn kernels for implicit surface reconstruction, building upon the recent success of kernel methods for 3D reconstruction of oriented point cloud…
AMOR: Ambiguous Authorship Order
Maximilian Weiherer, Andreea Dogaru, Shreya Kapoor +2
As we all know, writing scientific papers together with our beloved colleagues is a truly remarkable experience (partially): endless discussions about the same useless paragraph ov…
Exploring Multi-modal Neural Scene Representations With Applications on Thermal Imaging
Mert Özer, Maximilian Weiherer, Martin Hundhausen +1
Neural Radiance Fields (NeRFs) quickly evolved as the new de-facto standard for the task of novel view synthesis when trained on a set of RGB images. In this paper, we conduct a co…
From Zero to Hero: Convincing with Extremely Complicated Math
Maximilian Weiherer, Bernhard Egger
Becoming a (super) hero is almost every kid's dream. During their sheltered childhood, they do whatever it takes to grow up to be one. Work hard, play hard -- all day long. But as…
Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo
Maximilian Weiherer, Finn Klein, Bernhard Egger
To date, the comparison of Statistical Shape Models (SSMs) is often solely performance-based, carried out by means of simplistic metrics such as compactness, generalization, or spe…
Learning the shape of female breasts: an open-access 3D statistical shape model of the female breast built from 110 breast scans
Maximilian Weiherer, Andreas Eigenberger, Bernhard Egger +3
We present the Regensburg Breast Shape Model (RBSM) -- a 3D statistical shape model of the female breast built from 110 breast scans acquired in a standing position, and the first…