80 citations · 161 across the 12 of their papers we have counts for
12 papers
KISS-GS: 3D Gaussian Splatting Compression Kept Simple
Wieland Morgenstern, Friedrich Elias Branschke, Florian Fleischmann +5
Scene reconstruction with 3D Gaussian Splatting (3DGS) has become common, however deployment remains painful as the uncompressed file sizes can be massive. Current 3DGS compression…
COSY: Compositional 3DGS Synthesis for Disentangled Human Head Editing
Florian Barthel, Shalini De Mello, Koki Nagano +3
Recent 3D Gaussian Splatting (3DGS) GANs for human heads synthesize and render photorealistic 3D models in real-time and offer a vast variety in identity and appearance. However, c…
R3GW: Relightable 3D Gaussians for Outdoor Scenes in the Wild
Margherita Lea Corona, Wieland Morgenstern, Peter Eisert +1
3D Gaussian Splatting (3DGS) has established itself as a leading technique for 3D reconstruction and novel view synthesis of static scenes, achieving outstanding rendering quality…
CGS-GAN: 3D Consistent Gaussian Splatting GANs for High Resolution Human Head Synthesis
Florian Barthel, Wieland Morgenstern, Paul Hinzer +2
Recently, 3D GANs based on 3D Gaussian splatting have been proposed for high quality synthesis of human heads. However, existing methods stabilize training and enhance rendering qu…
3DGS.zip: A survey on 3D Gaussian Splatting Compression Methods
Milena T. Bagdasarian, Paul Knoll, Yi-Hsin Li +4
3D Gaussian Splatting (3DGS) has emerged as a cutting-edge technique for real-time radiance field rendering, offering state-of-the-art performance in terms of both quality and spee…
Gaussian Splatting Decoder for 3D-aware Generative Adversarial Networks
Florian Barthel, Arian Beckmann, Wieland Morgenstern +2
NeRF-based 3D-aware Generative Adversarial Networks (GANs) like EG3D or GIRAFFE have shown very high rendering quality under large representational variety. However, rendering with…
X-maps: Direct Depth Lookup for Event-based Structured Light Systems
Wieland Morgenstern, Niklas Gard, Simon Baumann +2
We present a new approach to direct depth estimation for Spatial Augmented Reality (SAR) applications using event cameras. These dynamic vision sensors are a great fit to be paired…
Compact 3D Scene Representation via Self-Organizing Gaussian Grids
Wieland Morgenstern, Florian Barthel, Anna Hilsmann +1
3D Gaussian Splatting has recently emerged as a highly promising technique for modeling of static 3D scenes. In contrast to Neural Radiance Fields, it utilizes efficient rasterizat…
Animating NeRFs from Texture Space: A Framework for Pose-Dependent Rendering of Human Performances
Paul Knoll, Wieland Morgenstern, Anna Hilsmann +1
Creating high-quality controllable 3D human models from multi-view RGB videos poses a significant challenge. Neural radiance fields (NeRFs) have demonstrated remarkable quality in…
Animatable Virtual Humans: Learning pose-dependent human representations in UV space for interactive performance synthesis
Wieland Morgenstern, Milena T. Bagdasarian, Anna Hilsmann +1
We propose a novel representation of virtual humans for highly realistic real-time animation and rendering in 3D applications. We learn pose dependent appearance and geometry from…
Imposing Temporal Consistency on Deep Monocular Body Shape and Pose Estimation
Alexandra Zimmer, Anna Hilsmann, Wieland Morgenstern +1
Accurate and temporally consistent modeling of human bodies is essential for a wide range of applications, including character animation, understanding human social behavior and AR…
Going beyond Free Viewpoint: Creating Animatable Volumetric Video of Human Performances
Anna Hilsmann, Philipp Fechteler, Wieland Morgenstern +4
In this paper, we present an end-to-end pipeline for the creation of high-quality animatable volumetric video content of human performances. Going beyond the application of free-vi…