16 citations · 18 across the 5 of their papers we have counts for
5 papers
Immediate 3D Gaussian Splat Reconstruction of Unordered Input with Global Consistency
Andreas Meuleman, Linus Franke, Boris Zhestiankin +2
3D Gaussian Splatting (3DGS) has become the method of choice for reconstructing and real-time rendering of captured scenes. To capture a scene with good visual quality, continuous…
Spectral Prefiltering of Neural Fields
Mustafa B. Yaldiz, Ishit Mehta, Nithin Raghavan +3
Neural fields excel at representing continuous visual signals but typically operate at a single, fixed resolution. We present a simple yet powerful method to optimize neural fields…
Splat and Replace: 3D Reconstruction with Repetitive Elements
Nicolás Violante, Andreas Meuleman, Alban Gauthier +3
We leverage repetitive elements in 3D scenes to improve novel view synthesis. Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have greatly improved novel view synthe…
On-the-fly Reconstruction for Large-Scale Novel View Synthesis from Unposed Images
Andreas Meuleman, Ishaan Shah, Alexandre Lanvin +2
Radiance field methods such as 3D Gaussian Splatting (3DGS) allow easy reconstruction from photos, enabling free-viewpoint navigation. Nonetheless, pose estimation using Structure…
A Hierarchical 3D Gaussian Representation for Real-Time Rendering of Very Large Datasets
Bernhard Kerbl, Andréas Meuleman, Georgios Kopanas +3
Novel view synthesis has seen major advances in recent years, with 3D Gaussian splatting offering an excellent level of visual quality, fast training and real-time rendering. Howev…