Daniel Panangian
RESEARCH ASSOCIATE @ GERMAN AEROSPACE CENTER
I am part of AI4BuildingModeling Group headed by Dr. Ksenia Bittner. Our group specializes in 3D urban scene reconstruction using satellite imagery.
Unleashing the power of vision generative models for real-world applications is my main quest. I have been working mainly around inverse problems in imaging but not limited to image-to-image translation, topology-aware and graph-based approaches for building extraction.
Prior to research, I worked on pilot projects at industry-leading companies, developing language models to support internal processes. I earned both my Master’s and Bachelor’s degrees in Computer Science with a minor in Computational Linguistics from Ludwig Maximilian University Munich 
publications
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Dfilled: Repurposing Edge-Enhancing Diffusion for Guided DSM Void FillingIn IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) , 2025 -
Can Location Embeddings Enhance Super-Resolution of Satellite Imagery?In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , 2025 -
SyntStereo2Real: Edge-aware GAN for remote sensing image translation while maintaining stereo constraintsIn IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) , 2024 -
Real-GDSR: Real-World Guided DSM Super-Resolution via Edge-Enhancing Residual NetworkISPRS Annals of Photogrammetry, Remote Sensing, and Spatial Information Sciences, 2024
news
| Dec 30, 2024 | Dfilled is accepted to WACVW GeoCV |
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| Oct 28, 2024 | Can Location Embeddings Enhance Super-Resolution of Satellite Imagery? is accepted to WACV |
| Apr 05, 2024 | SyntStereo2Real is accepted to CVPRW EarthVision |
| Mar 01, 2024 | Real-GDSR is accepted to ISPRS TC II Symposium as oral presentation |
| Oct 10, 2023 | Visited ICCV in Paris. First conference ever! |