25 citations · 42 across the 16 of their papers we have counts for
6 papers · 2 filters
VR-Splatting: Foveated Radiance Field Rendering via 3D Gaussian Splatting and Neural Points
Linus Franke, Laura Fink, Marc Stamminger
Recent advances in novel view synthesis have demonstrated impressive results in fast photorealistic scene rendering through differentiable point rendering, either via Gaussian Spla…
Refinement of Monocular Depth Maps via Multi-View Differentiable Rendering
Laura Fink, Linus Franke, Bernhard Egger +2
Accurate depth estimation is at the core of many applications in computer graphics, vision, and robotics. Current state-of-the-art monocular depth estimators, trained on extensive…
FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework
Lukas Meyer, Andreas Gilson, Ute Schmid +1
We introduce FruitNeRF, a unified novel fruit counting framework that leverages state-of-the-art view synthesis methods to count any fruit type directly in 3D. Our framework takes…
INPC: Implicit Neural Point Clouds for Radiance Field Rendering
Florian Hahlbohm, Linus Franke, Moritz Kappel +4
We introduce a new approach for reconstruction and novel view synthesis of unbounded real-world scenes. In contrast to previous methods using either volumetric fields, grid-based m…
TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering
Linus Franke, Darius Rückert, Laura Fink +1
Point-based radiance field rendering has demonstrated impressive results for novel view synthesis, offering a compelling blend of rendering quality and computational efficiency. Ho…
PEGASUS: Physically Enhanced Gaussian Splatting Simulation System for 6DoF Object Pose Dataset Generation
Lukas Meyer, Floris Erich, Yusuke Yoshiyasu +3
We introduce Physically Enhanced Gaussian Splatting Simulation System (PEGASUS) for 6DOF object pose dataset generation, a versatile dataset generator based on 3D Gaussian Splattin…