Michael Steiner
Scholar

Michael Steiner

Google Scholar ID: Pbtgcz8AAAAJ
PhD, Graz University of Technology
computer graphicsneural radiance fields
Citations & Impact
All-time
Citations
91
 
H-index
3
 
i10-index
1
 
Publications
9
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • SOF: Sorted Opacity Fields for Fast Unbounded Surface Reconstruction, SIGGRAPH Asia, 2025
  • AAA-Gaussians: Anti-Aliased and Artifact-Free 3D Gaussian Rendering, ICCV (Poster Highlight), 2025
  • Image-Based Spatio-Temporal Interpolation for Split Rendering, High-Performance Graphics (CGF), 2025
  • VRSplat: Fast and Robust Gaussian Splatting for Virtual Reality, I3D (PACMCGIT), 2025
  • StopThePop: Sorted Gaussian Splatting for View-Consistent Real-Time Rendering, SIGGRAPH (TOG), 2024
  • Frustum Volume Caching for Accelerated NeRF Rendering, High-Performance Graphics (PACMCGIT), 2024
Research Experience
  • Most of my recent work focused on novel view synthesis and neural rendering.
Education
  • In 2023, I received my Master's Degree (with distinction) for Computer Science at Graz University of Technology, with a Major/Minor in Visual Computing/Machine Learning.
Background
  • Currently a PhD student at Graz University of Technology at the Institute of Visual Computing (IVC), supervised by Markus Steinberger. My personal research interests lie in Visual Computing, Machine Learning, and all topics concerning Parallel Compute in general.