Daniel Panangian

RESEARCH ASSOCIATE @ GERMAN AEROSPACE CENTER Icon

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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 Icon.

publications

  1. PolyRoof: Precision Roof Polygonization in Urban Residential Building with Graph Neural Networks
    PolyRoof: Precision Roof Polygonization in Urban Residential Building with Graph Neural Networks
    Chaikal Amrullah ,  D. Panangian , and  K. Bittner
    In Proceedings of the 17th International Joint Urban Remote Sensing Event (JURSE) , 2025
    arXiv
  2. AIM2PC: Aerial Image to 3D Building Point Cloud Reconstruction
    AIM2PC: Aerial Image to 3D Building Point Cloud Reconstruction
    Soulaimene Turki ,  D. Panangian ,  H. Chaabouni-Chouayakh , and  K. Bittner
    In ISPRS Annals of Photogrammetry, Remote Sensing, and Spatial Information Sciences , 2025
    arXiv
  3. Dfilled: Repurposing Edge-Enhancing Diffusion for Guided DSM Void Filling
    Dfilled: Repurposing Edge-Enhancing Diffusion for Guided DSM Void Filling
    D. Panangian , and  K. Bittner
    In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) , 2025
    arXiv
  4. Can Location Embeddings Enhance Super-Resolution of Satellite Imagery?
    Can Location Embeddings Enhance Super-Resolution of Satellite Imagery?
    D. Panangian , and  K. Bittner
    In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , 2025
    arXiv
  5. SyntStereo2Real: Edge-aware GAN for remote sensing image translation while maintaining stereo constraints
    SyntStereo2Real: Edge-aware GAN for remote sensing image translation while maintaining stereo constraints
    V. Venkatesan ,  D. Panangian ,  M. F. Reyes , and  K. Bittner
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) , 2024
    arXiv
  6. Real-GDSR: Real-World Guided DSM Super-Resolution via Edge-Enhancing Residual Network
    Real-GDSR: Real-World Guided DSM Super-Resolution via Edge-Enhancing Residual Network
    D. Panangian , and  K. Bittner
    ISPRS Annals of Photogrammetry, Remote Sensing, and Spatial Information Sciences , 2024
    arXiv

news

Dec 30, 2024 Dfilled is accepted to WACVW GeoCV
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!