Christian Reiser

PhD Student in Computer Vision & Machine Learning

Hi, I am Christian a PhD student in the field of computer vision in the Autonomous Vision Group lead by Andreas Geiger at University of Tübingen. Since July 2022 I am working as a student researcher at Google under Peter Hedman.

I am studying 3D representations for novel view synthesis and 3D reconstruction. My ultimate goal is to find a practical representation with a low memory footprint, that can scale to large scenes and that can be rendered in real-time on as cheap hardware as possible. To this end, I am especially interested in investigating and improving emerging representations based on deep neural networks.

I did my Bachelor and Master studies in Computer Science at University of Passau. Funded by the ERASMUS program I spent one semester abroad in Barcelona at Polytechnic University of Catalonia in their Artificial Intelligence program. In April 2020 I joined the Autonmous Vision Group at University of Tübingen / Max-Planck-Institute for Intelligent Systems headed by Prof. Dr. Andreas Geiger. You can find my full CV here.

selected publications

  1. Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis
    Reiser, Christian, Garbin, Stephan, Srinivasan, Pratul P., Verbin, Dor, Szeliski, Richard, Mildenhall, Ben, Barron, Jonathan T., Hedman, Peter, and Geiger, Andreas
    In SIGGRAPH 2024
    arXiv Website Video
  2. SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration
    Duckworth, Daniel, Hedman, Peter, Reiser, Christian, Zhizhin, Peter, Thibert, Jean-François, Lučić, Mario, Szeliski, Richard, and Barron, Jonathan T.
    In SIGGRAPH 2024
    arXiv Website Video
  3. MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes
    Reiser, Christian, Szeliski, Richard, Verbin, Dor, Srinivasan, Pratul P., Mildenhall, Ben, Geiger, Andreas, Barron, Jonathan T., and Hedman, Peter
    In SIGGRAPH 2023
    arXiv Code Website Video
  4. BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis
    Yariv, Lior, Hedman, Peter, Reiser, Christian, Verbin, Dor, Srinivasan, Pratul P., Szeliski, Richard, Barron, Jonathan T., and Mildenhall, Ben
    In SIGGRAPH 2023
    arXiv Website Video
  5. KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
    Reiser, Christian, Peng, Songyou, Liao, Yiyi, and Geiger, Andreas
    In International Conference on Computer Vision (ICCV) 2021
    arXiv PDF Supp Code Website Video
  6. Learning Implicit Surface Light Fields
    Oechsle, Michael, Niemeyer, Michael, Reiser, Christian, Mescheder, Lars, Strauss, Thilo, and Geiger, Andreas
    In International Conference on 3D Vision (3DV) 2020
    arXiv Supp