Lukas Sebastian Radl

Dipl.-Ing. BSc

I’m currently teaching and researching as a PhD student supervised by Prof. Markus Steinberger.

r4dl.github.io

Additional Information

ost of my work focuses on Novel View Synthesis, including a fun research experience at Meta Reality Labs (2025). Generally, my research interests are computer graphics, computer vision and parallel computing. Prior to my PhD, I obtained both my Bachelors and Masters degree at Graz University of Technology.

Publications

VRSplat: Fast and Robust Gaussian Splatting for Virtual Reality

Tu, X., Radl, L., Steiner, M., Steinberger, M., Kerbl, B., de la Torre, F.

Proceedings of the ACM on Computer Graphics and Interactive Techniques, Vol. 8(1), 2025

Analyzing the Internals of Neural Radiance Fields

Radl, L., Kurz, A., Steiner, M., Steinberger, M.

Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024, 2024, 2822-2831, (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops)

Frustum Volume Caching for Accelerated NeRF Rendering

Steiner, M., Köhler, T., Radl, L., Steinberger, M.

Proceedings of the ACM on Computer Graphics and Interactive Techniques, Vol. 7(3), 2024, 1-22

StopThePop: Sorted Gaussian Splatting for View-Consistent Real-time Rendering

Radl, L., Steiner, M., Parger, M., Weinrauch, A., Kerbl, B., Steinberger, M.

ACM Transactions on Graphics, Vol. 43(4), 2024, 1-17

LAENeRF: Local Appearance Editing for Neural Radiance Fields

Radl, L., Steiner, M., Kurz, A., Steinberger, M.

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, 4969-4978, (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition)

AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks

Radl, L., Jin, Y., Pepe, A., Li, J., Gsaxner, C., Zhao, F., Egger, J.

Data in Brief, Vol. 40, 2022