80 citations · 315 across the 50 of their papers we have counts for
7 papers · 2 filters
Multi-Resolution Generative Modeling of Human Motion from Limited Data
David Eduardo Moreno-Villamarín, Anna Hilsmann, Peter Eisert
We present a generative model that learns to synthesize human motion from limited training sequences. Our framework provides conditional generation and blending across multiple tem…
Adaptive and Temporally Consistent Gaussian Surfels for Multi-view Dynamic Reconstruction
Decai Chen, Brianne Oberson, Ingo Feldmann +3
3D Gaussian Splatting has recently achieved notable success in novel view synthesis for dynamic scenes and geometry reconstruction in static scenes. Building on these advancements,…
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…
SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments
Niklas Gard, Anna Hilsmann, Peter Eisert
In this paper, we present SPVLoc, a global indoor localization method that accurately determines the six-dimensional (6D) camera pose of a query image and requires minimal scene-sp…
Video-Driven Animation of Neural Head Avatars
Wolfgang Paier, Paul Hinzer, Anna Hilsmann +1
We present a new approach for video-driven animation of high-quality neural 3D head models, addressing the challenge of person-independent animation from video input. Typically, hi…
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…