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Bernhard Kerbl

9 papers hereh-index 1410.1k citations29 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author2
  • middle author6

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.GR4
same name
  • Bernhard Kerbl — 6 papers, h 8
  • Bernhard Kerbl — 1 paper
  • Bernhard Kerbl — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedReducing the Memory Footprint of 3D Gaussian Splatting

114 citations · 163 across the 7 of their papers we have counts for

collaborators
Showing cs.GRShow all

4 papers · 1 filter

cs.GR2025

VRSplat: Fast and Robust Gaussian Splatting for Virtual Reality

Xuechang Tu, Lukas Radl, Michael Steiner +3

3D Gaussian Splatting (3DGS) has rapidly become a leading technique for novel-view synthesis, providing exceptional performance through efficient software-based GPU rasterization.…

cs.GR2024

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

Lukas Radl, Michael Steiner, Mathias Parger +3

Gaussian Splatting has emerged as a prominent model for constructing 3D representations from images across diverse domains. However, the efficiency of the 3D Gaussian Splatting ren…

cs.GR2023★ 33 cited

3D Gaussian Splatting for Real-Time Radiance Field Rendering

Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler +1

Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires ne…

cs.GR2018

On-the-fly Vertex Reuse for Massively-Parallel Software Geometry Processing

Michael Kenzel, Bernhard Kerbl, Wolfgang Tatzgern +3

Compute-mode rendering is becoming more and more attractive for non-standard rendering applications, due to the high flexibility of compute-mode execution. These newly designed pip…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.