Search Results for author: Linus Franke

Found 5 papers, 4 papers with code

TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering

1 code implementation11 Jan 2024 Linus Franke, Darius Rückert, Laura Fink, Marc Stamminger

In this paper, we present TRIPS (Trilinear Point Splatting), an approach that combines ideas from both Gaussian Splatting and ADOP.

Computational Efficiency Novel View Synthesis

LiveNVS: Neural View Synthesis on Live RGB-D Streams

1 code implementation28 Nov 2023 Laura Fink, Darius Rückert, Linus Franke, Joachim Keinert, Marc Stamminger

Based on the RGB-D input stream, novel views are rendered by projecting neural features into the target view via a densely fused depth map and aggregating the features in image-space to a target feature map.

Neural Rendering Novel View Synthesis +1

VET: Visual Error Tomography for Point Cloud Completion and High-Quality Neural Rendering

1 code implementation8 Nov 2023 Linus Franke, Darius Rückert, Laura Fink, Matthias Innmann, Marc Stamminger

In our results, we show that our approach can improve the quality of a point cloud obtained by structure from motion and thus increase novel view synthesis quality significantly.

Neural Rendering Novel View Synthesis +1

ADOP: Approximate Differentiable One-Pixel Point Rendering

2 code implementations13 Oct 2021 Darius Rückert, Linus Franke, Marc Stamminger

Like other neural renderers, our system takes as input calibrated camera images and a proxy geometry of the scene, in our case a point cloud.

Inverse Rendering Neural Rendering +1

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