IVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing to Facilitate 3D Reconstruction

1 code implementation • 22 Oct 2021 • Max Hermann, Thomas Pollok, Daniel Brommer, Dominic Zahn

We provide three plugins as baseline methods that enable an intelligent selection of suitable images and can enrich them with additional information.

3D Reconstruction Optical Flow Estimation +1

Real-time dense 3D Reconstruction from monocular video data captured by low-cost UAVs

no code implementations • 21 Apr 2021 • Max Hermann, Boitumelo Ruf, Martin Weinmann

To create a 3D model of the scene, we rely on a three-stage processing chain.

3D Reconstruction Simultaneous Localization and Mapping

Self-Supervised Learning for Monocular Depth Estimation from Aerial Imagery

1 code implementation • 17 Aug 2020 • Max Hermann, Boitumelo Ruf, Martin Weinmann, Stefan Hinz

Therefore, in this paper, we present a method for self-supervised learning for monocular depth estimation from aerial imagery that does not require annotated training data.

Monocular Depth Estimation Self-Supervised Learning

Learned Fitting of Spatially Varying BRDFs

no code implementations • 30 Jul 2019 • Sebastian Merzbach, Max Hermann, Martin Rump, and Reinhard Klein

The use of spatially varying reflectance models (SVBRDF) is the state of the art in physically based rendering and the ultimate goal is to acquire them from real world samples.