Sascha Kirch

Sascha Kirch
National Distance Education University | UNED

Master of Engineering

About

4
Publications
44
Reads
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3
Citations
Additional affiliations
January 2023 - present
Bosch
Position
  • Expert Deeplearning Automotive Sensor Perception
January 2019 - December 2022
Bosch
Position
  • Project Manager
October 2017 - December 2018
Bosch
Position
  • Engineer
Education
October 2021 - June 2026
National Distance Education University
Field of study
  • Multi-Modal Generative Deeplearning
October 2019 - June 2021
National Distance Education University
Field of study
  • Electronic Systems for Communication and Information
October 2013 - September 2016
Duale Hochschule Baden-Württemberg Stuttgart Campus Horb
Field of study
  • Electrical Engineering

Publications

Publications (4)
Preprint
We present RGB-D-Fusion, a multi-modal conditional denoising diffusion probabilistic model to generate high resolution depth maps from low-resolution monocular RGB images of humanoid subjects. RGB-D-Fusion first generates a low-resolution depth map using an image conditioned denoising diffusion probabilistic model and then upsamples the depth map u...
Article
Full-text available
We present RGB-D-Fusion, a multi-modal conditional denoising diffusion probabilistic model to generate high resolution depth maps from low-resolution monocular RGB images of humanoid subjects. RGB-D-Fusion first generates a low-resolution depth map using an image conditioned denoising diffusion probabilistic model and then upsamples the depth map u...
Preprint
We present VoloGAN, an adversarial domain adaptation network that translates synthetic RGB-D images of a high-quality 3D model of a person, into RGB-D images that could be generated with a consumer depth sensor. This system is especially useful to generate high amount training data for single-view 3D reconstruction algorithms replicating the real-w...

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