Universität Ulm

Sebastian Hartwig completed his masters degree at the Institute of Media Informatics 2017 before joining the research group Visual Computing.

Research interests

  • Machine Scene Understanding
  • Monocular Depth Estimation
  • Layout Estimation
  • Synthetic data for Deep Learning
  • 3D Reconstruction

Theses

My research focus on machine scene understanding like depth and layout estimation. It combines topics of computer vision and computer graphics. Deep learning approaches rely on high quality data sets featuring high numbers of annotated training data. In order to overcome the lack of training data I investigate in generating synthetic data in the context different applications. Photo-realisitc rendering and scene description generation are key components in order to generate high quality training data.

I will be pleased to answer your quetions and provide detailed information for theses. Feel free to come by or just send me an email.

Supervised Theses

10 theses
Master
Benchmarking Text-to-3D Generation with Attribute-Specific Prompts and Evaluation Metrics
Chandramita Bhattacharya
2025
Bachelor
Scannen von Raumbereichen durch Nutzung von Smartphone Technologie
Simon Arnold
2024
Master
Spatial Data Visualizations on 3D Urban Maps
Fred Grunack
2024
Master
Optimization of Semantic Segmentation on 3D Radar Point Clouds
Daniel Rotärmel
2022
Master
Differentiable Rendering for Constructive Solid Geometry
Jan Haßler
2022
Bachelor
Denoising Path Tracing Images with Noise2Noise
Alexander Lisogorov
2020
Master
Rendern von HD-Karten
Oliver Skalic
2020
Bachelor
Deriving 3D scenes using Floorplans for photo-realistic Rendering
Jonas Häußler
2020
Master
Visualizing Point Cloud Data Using Augmented Reality
Ali Kanat
2019
Master
3D City visualization as an Augmentation to Existing 2D maps
Roshan Poudyal
2019

Publications

8 papers
A Survey on Quality Metrics for Text-to-Image Generation
A Survey on Quality Metrics for Text-to-Image Generation
Sebastian Hartwig, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski
TVCG 2025 PDF
CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation
CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation
Leon Sick, Dominik Engel, Sebastian Hartwig, Pedro Hermosilla, Timo Ropinski
ICCV 2025 Video
HPSCAN: Human Perception-Based Scattered Data Clustering
HPSCAN: Human Perception-Based Scattered Data Clustering
Sebastian Hartwig, Christian van Onzenoodt, Dominik Engel, Pedro Hermosilla, Timo Ropinski
CGF 2025 PDF
Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics
Evaluating Text-to-Image Synthesis: Survey and Taxonomy of Image Quality Metrics
Sebastian Hartwig, Dominik Engel, Leon Sick, Hannah Kniesel, Tristan Payer, Poonam Poonam, Michael Glöckler, Alex Bäuerle, Timo Ropinski
arXiv PDF
AutoTherm: A Dataset and Ablation Study for Thermal Comfort Prediction in Vehicles
AutoTherm: A Dataset and Ablation Study for Thermal Comfort Prediction in Vehicles
Mark Colley, Sebastian Hartwig, Albin Zeqiri, Timo Ropinski, Enrico Rukzio
arXiv PDF
Monocular Depth Decomposition of Semi-Transparent Volume Renderings
Monocular Depth Decomposition of Semi-Transparent Volume Renderings
Dominik Engel, Sebastian Hartwig, Timo Ropinski
TVCG 2023 PDF ‹›Code
Learning Human Viewpoint Preferences from Sparsely Annotated Models
Learning Human Viewpoint Preferences from Sparsely Annotated Models
Sebastian Hartwig, Michael Schelling, Christian van Onzenoodt, Pere-Pau Vázquez, Pedro Hermosilla, Timo Ropinski
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