68 citations · 89 across the 8 of their papers we have counts for
9 papers · 1 filter
Bringing a Personal Point of View: Evaluating Dynamic 3D Gaussian Splatting for Egocentric Scene Reconstruction
Jan Warchocki, Xi Wang, Jonas Kulhanek +1
Egocentric video provides a unique view into human perception and interaction, with growing relevance for augmented reality, robotics, and assistive technologies. However, rapid ca…
Viser: Imperative, Web-based 3D Visualization in Python
Brent Yi, Chung Min Kim, Justin Kerr +8
We present Viser, a 3D visualization library for computer vision and robotics. Viser aims to bring easy and extensible 3D visualization to Python: we provide a comprehensive set of…
CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization
Jan Ackermann, Jonas Kulhanek, Shengqu Cai +5
In dynamic 3D environments, accurately updating scene representations over time is crucial for applications in robotics, mixed reality, and embodied AI. As scenes evolve, efficient…
LODGE: Level-of-Detail Large-Scale Gaussian Splatting with Efficient Rendering
Jonas Kulhanek, Marie-Julie Rakotosaona, Fabian Manhardt +5
In this work, we present a novel level-of-detail (LOD) method for 3D Gaussian Splatting that enables real-time rendering of large-scale scenes on memory-constrained devices. Our ap…
WaterSplatting: Fast Underwater 3D Scene Reconstruction Using Gaussian Splatting
Huapeng Li, Wenxuan Song, Tianao Xu +2
The underwater 3D scene reconstruction is a challenging, yet interesting problem with applications ranging from naval robots to VR experiences. The problem was successfully tackled…
WildGaussians: 3D Gaussian Splatting in the Wild
Jonas Kulhanek, Songyou Peng, Zuzana Kukelova +2
While the field of 3D scene reconstruction is dominated by NeRFs due to their photorealistic quality, 3D Gaussian Splatting (3DGS) has recently emerged, offering similar quality wi…
NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods
Jonas Kulhanek, Torsten Sattler
Novel view synthesis is an important problem with many applications, including AR/VR, gaming, and robotic simulations. With the recent rapid development of Neural Radiance Fields (…
Dynamic 3D Gaussian Fields for Urban Areas
Tobias Fischer, Jonas Kulhanek, Samuel Rota Bulò +3
We present an efficient neural 3D scene representation for novel-view synthesis (NVS) in large-scale, dynamic urban areas. Existing works are not well suited for applications like…
Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra
Jonas Kulhanek, Torsten Sattler
Neural Radiance Fields (NeRFs) are a very recent and very popular approach for the problems of novel view synthesis and 3D reconstruction. A popular scene representation used by Ne…