Lukas Radl

According to our database, Lukas Radl authored at least 10 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A LoD of Gaussians: Unified Training and Rendering for Ultra-Large Scale Reconstruction with External Memory.

Felix Windisch, Lukas Radl, Thomas Köhler, Michael Steiner, Dieter Schmalstieg, Markus Steinberger

CoRR, July, 2025

DreamAnywhere: Object-Centric Panoramic 3D Scene Generation.

Edoardo Alberto Dominici, Jozef Hladky, Floor Verhoeven, Lukas Radl, Thomas Deixelberger, Stefan Ainetter, Philipp Drescher, Stefan Hauswiesner, Arno Coomans, Giacomo Nazzaro, Konstantinos Vardis, Markus Steinberger

CoRR, June, 2025

SOF: Sorted Opacity Fields for Fast Unbounded Surface Reconstruction.

Lukas Radl, Felix Windisch, Thomas Deixelberger, Jozef Hladky, Michael Steiner, Dieter Schmalstieg, Markus Steinberger

CoRR, June, 2025

VRSplat: Fast and Robust Gaussian Splatting for Virtual Reality.

Xuechang Tu, Lukas Radl, Michael Steiner, Markus Steinberger, Bernhard Kerbl, Fernando De la Torre

Proc. ACM Comput. Graph. Interact. Tech., May, 2025

AAA-Gaussians: Anti-Aliased and Artifact-Free 3D Gaussian Rendering.

Michael Steiner, Thomas Köhler, Lukas Radl, Felix Windisch, Dieter Schmalstieg, Markus Steinberger

CoRR, April, 2025

2024

Frustum Volume Caching for Accelerated NeRF Rendering.

Michael Steiner, Thomas Köhler, Lukas Radl, Markus Steinberger

Proc. ACM Comput. Graph. Interact. Tech., August, 2024

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

Lukas Radl, Michael Steiner, Mathias Parger, Alexander Weinrauch, Bernhard Kerbl, Markus Steinberger

ACM Trans. Graph., July, 2024

Analyzing the Internals of Neural Radiance Fields.

Lukas Radl, Andreas Kurz, Michael Steiner, Markus Steinberger

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LAENeRF: Local Appearance Editing for Neural Radiance Fields.

Lukas Radl, Michael Steiner, Andreas Kurz, Markus Steinberger

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Analyzing the Internals of Neural Radiance Fields.

Lukas Radl, Andreas Kurz, Markus Steinberger

CoRR, 2023