Dominik Engel joined the Visual Computing Research Group in December 2018. He completed his Ph.D. in May 2024. Prior to that He finished his M.Sc. in 2018 with a focus on Computer Vision, Computer Graphics and Deep Learning. He earned his Bachelor’s degree in 2016, also at the University of Ulm. Find newest updates on https://dominikengel.com.
Research interests
- Deep Learning Techniques for Computer Graphics
- Deep Learning in Volume Rendering
- Differentiable & Neural Rendering
- Self-Supervised Training and its Emerging Applications
Teaching
Lectures
- Deep Learning for Graphics and Visualization [Contributed Chapter: Generative Models Chapter]
- Deep Learning for Graphics and Visualization Summer School 2019
- Deep Learning for Graphics and Visualization Lecture & Exercise [WT19/20, WT20/21, WT21/22]
- 3D Deep Learning [Contributed Chapters: Automatic Differentiation, Differentiable Rendering, Neural Radiance Fields]
- 3D Deep Learning Exercise [WT23/24]
- Visual Computing Seminar Bachelor [ST19, WT19/20, ST20, WT20/21, ST21, WT21/22, ST22, WT22/23, ST23]
- Visual Computing Seminar Master [ST19, WT19/20, ST20, WT20/21, ST21, WT21/22, ST22, WT23/24]
Finished Theses
- Tushar Singhal - “Efficient Fine-Tuning of Stable Diffusion for Novel View Synthesis” (Master Thesis)
- Michael Nix - “Recognition and Tracking of Real-World Objects in Mixed Reality Environments” (Master Thesis)
- Luca Dubies - “Neural Audio Fields” (Master Thesis)
- Jan Haßler - “Differentiable Rendering for Constructive Solid Geometry” (Master Thesis)
- Niklas Trieu - “Generative Models for Order-Independent Point Clouds” (Bachelor Thesis)
- Jannes Lehwald - “Development of a Context-Aware Simulation-Based Worker Assistance using Human Simulation Data” (Master Thesis)
Finished Projects
- Deep Learning Dataset Generation using Mitsuba2
- Differentiable Depth Raycasting
Open Thesis and Project Topics
As I will finish my journey here at Ulm Univeristy soon, I am no longer available for theses or projects.
