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Lukas Höllein

Technical University of Munich

10 papers hereh-index 8634 citations10 works total

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

author position
  • first author5
  • middle author5

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV10
affiliations
  • Technical University of Munich
Homepage

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedViewDiff: 3D-Consistent Image Generation with Text-to-Image Models

3 citations · 7 across the 6 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

Intrinsic Image Fusion for Multi-View 3D Material Reconstruction

Peter Kocsis, Lukas Höllein, Matthias Nießner

We introduce Intrinsic Image Fusion, a method that reconstructs high-quality physically based materials from multi-view images. Material reconstruction is highly underconstrained a…

cs.CV2025★ 3 cited

WorldExplorer: Towards Generating Fully Navigable 3D Scenes

Manuel-Andreas Schneider, Lukas Höllein, Matthias Nießner

Generating 3D worlds from text is a highly anticipated goal in computer vision. Existing works are limited by the degree of exploration they allow inside of a scene, i.e., produce…

cs.CV2025

QuickSplat: Fast 3D Surface Reconstruction via Learned Gaussian Initialization

Yueh-Cheng Liu, Lukas Höllein, Matthias Nießner +1

Surface reconstruction is fundamental to computer vision and graphics, enabling applications in 3D modeling, mixed reality, robotics, and more. Existing approaches based on volumet…

cs.CV2025

IntrinsiX: High-Quality PBR Generation using Image Priors

Peter Kocsis, Lukas Höllein, Matthias Nießner

We introduce IntrinsiX, a novel method that generates high-quality intrinsic images from text description. In contrast to existing text-to-image models whose outputs contain baked-…

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