22 citations · 36 across the 4 of their papers we have counts for
4 papers
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…
LiveNVS: Neural View Synthesis on Live RGB-D Streams
Laura Fink, Darius Rückert, Linus Franke +2
Existing real-time RGB-D reconstruction approaches, like Kinect Fusion, lack real-time photo-realistic visualization. This is due to noisy, oversmoothed or incomplete geometry and…
VET: Visual Error Tomography for Point Cloud Completion and High-Quality Neural Rendering
Linus Franke, Darius Rückert, Laura Fink +2
In the last few years, deep neural networks opened the doors for big advances in novel view synthesis. Many of these approaches are based on a (coarse) proxy geometry obtained by s…
ADOP: Approximate Differentiable One-Pixel Point Rendering
Darius Rückert, Linus Franke, Marc Stamminger
In this paper we present ADOP, a novel point-based, differentiable neural rendering pipeline. Like other neural renderers, our system takes as input calibrated camera images and a…