Clustered Pre-convolved Radiance Caching. - Hauke Rehfeld; Tobias Zirr; Carsten Dachsbacher (EGPGV@EuroVis, 2014)

Memory-Efficient On-The-Fly Voxelization of Particle Data. - Tobias Zirr; Carsten Dachsbacher (EGPGV@EuroVis, 2015)

Visualization of Coherent Structures of Light Transport. - Tobias Zirr; Marco Ament; Carsten Dachsbacher (Comput. Graph. Forum, 2015)

Real-time rendering of procedural multiscale materials. - Tobias Zirr; Anton S. Kaplanyan (I3D, 2016)

Line Integration for Rendering Heterogeneous Emissive Volumes. - Florian Simon; Johannes Hanika; Tobias Zirr; Carsten Dachsbacher (Comput. Graph. Forum, 2017)

Extinction-Optimized Volume Illumination. - Marco Ament; Tobias Zirr; Carsten Dachsbacher (IEEE Trans. Vis. Comput. Graph., 2017)

Re-Weighting Firefly Samples for Improved Finite-Sample Monte Carlo Estimates. - Tobias Zirr; Johannes Hanika; Carsten Dachsbacher (Comput. Graph. Forum, 2018)

Memory-Efficient On-the-Fly Voxelization and Rendering of Particle Data. - Tobias Zirr; Carsten Dachsbacher (IEEE Trans. Vis. Comput. Graph., 2018)

Distortion-Free Displacement Mapping. - Tobias Zirr; Tobias Ritschel 001 (Comput. Graph. Forum, 2019)

Path differential-informed stratified MCMC and adaptive forward path sampling. - Tobias Zirr; Carsten Dachsbacher (ACM Trans. Graph., 2020)

Planetary Shadow-Aware Distance Sampling. - Carl Breyer; Tobias Zirr (EGSR (ST), 2022)

Hardware Acceleration of Neural Graphics. - Muhammad Husnain Mubarik; Ramakrishna Kanungo; Tobias Zirr; Rakesh Kumar 002 (ISCA, 2023)

Perceptually Guided Automatic Parameter Optimization for Interactive Visualization. - Daniel Opitz; Tobias Zirr; Carsten Dachsbacher; Lorenzo Tessari (VMV, 2023)

Neural Prefiltering for Correlation-Aware Levels of Detail. - Philippe Weier; Tobias Zirr; Anton Kaplanyan; Ling-Qi Yan 001; Philipp Slusallek (ACM Trans. Graph., 2023)

N-Dimensional Gaussians for Fitting of High Dimensional Functions. - Stavros Diolatzis; Tobias Zirr; Alexander Kuznetsov; Georgios Kopanas; Anton Kaplanyan (SIGGRAPH (Conference Paper Track), 2024)

N-Dimensional Gaussians for Fitting of High Dimensional Functions. - Stavros Diolatzis; Tobias Zirr; Alexandr Kuznetsov; Georgios Kopanas; Anton Kaplanyan (CoRR, 2024)

Sionna Research Kit: A GPU-Accelerated Research Platform for AI-RAN. - Sebastian Cammerer; Guillermo Marcus; Tobias Zirr; Fayçal Aït Aoudia; Lorenzo Maggi; Jakob Hoydis; Alexander Keller 001 (CoRR, 2025)