Lukas Höllein
Scholar

Lukas Höllein

Google Scholar ID: Te0MGV4AAAAJ
PhD Student at Technical University of Munich
Computer VisionMachine/Deep LearningComputer GraphicsNeural Rendering
Citations & Impact
All-time
Citations
459
 
H-index
5
 
i10-index
5
 
Publications
8
 
Co-authors
16
list available
Resume (English only)
Academic Achievements
  • Publications:
  • - WorldExplorer: Towards Generating Fully Navigable 3D Scenes (SIGGRAPH Asia, 2025)
  • - IntrinsiX: High-Quality PBR Generation using Image Priors (NeurIPS, 2025)
  • - 3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt (ICCV, 2025)
  • - QuickSplat: Fast 3D Surface Reconstruction via Learned Gaussian Initialization (ICCV, 2025)
  • - ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models (CVPR, 2024)
  • - ControlRoom3D: Room Generation using Semantic Proxy Rooms (CVPR, 2024)
  • - Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models (ICCV, 2023)
  • - StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions (CVPR, 2022)
Research Experience
  • Summer 2023: Research Scientist Intern at Meta Reality Labs in Zurich, under the guidance of Aljaž Božič.
Education
  • Master's Degree: Technical University of Munich, Computer Science; Bachelor's Degree: Coburg University, Computer Science. Advisor: Prof. Dr. Matthias Nießner.
Background
  • Research Interests: Intersection of computer vision/graphics and machine learning, particularly 3D reconstruction and generation; especially interested in the creation of fully navigable 3D worlds with the help of generative AI.
Miscellany
  • Contact: Email, Google Scholar, Twitter, GitHub, CV