activity
20192026
most citedTeaching the Incompressible Navier-Stokes Equations to Fast Neural Surrogate Models in 3D

56 citations · 66 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Instant Colorization of Gaussian Splats

Daniel Lieber, Alexander Mock, Nils Wandel

Gaussian Splatting has recently become one of the most popular frameworks for photorealistic 3D scene reconstruction and rendering. While current rasterizers allow for efficient ma…

cs.CV2023

Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models

David Stotko, Nils Wandel, Reinhard Klein

3D reconstruction of dynamic scenes is a long-standing problem in computer graphics and increasingly difficult the less information is available. Shape-from-Template (SfT) methods…

cs.CV2020

Robust Skeletonization for Plant Root Structure Reconstruction from MRI

Jannis Horn, Yi Zhao, Nils Wandel +3

Structural reconstruction of plant roots from MRI is challenging, because of low resolution and low signal-to-noise ratio of the 3D measurements which may lead to disconnectivities…

cs.CV2020

3D U-Net for Segmentation of Plant Root MRI Images in Super-Resolution

Yi Zhao, Nils Wandel, Magdalena Landl +2

Magnetic resonance imaging (MRI) enables plant scientists to non-invasively study root system development and root-soil interaction. Challenging recording conditions, such as low r…

cs.CV2019★ 1 cited

Complex Valued Gated Auto-encoder for Video Frame Prediction

Niloofar Azizi, Nils Wandel, Sven Behnke

In recent years, complex valued artificial neural networks have gained increasing interest as they allow neural networks to learn richer representations while potentially incorpora…