collaborators

6 papers

cs.CV2026

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.CV2026

World Reconstruction From Inconsistent Views

Lukas Höllein, Matthias Nießner

Video diffusion models generate high-quality and diverse worlds; however, individual frames often lack 3D consistency across the output sequence, which makes the reconstruction of…

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-…

cs.CV2025

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

3DGS-LM: Faster Gaussian-Splatting Optimization with Levenberg-Marquardt

Lukas Höllein, Aljaž Božič, Michael Zollhöfer +1

We present 3DGS-LM, a new method that accelerates the reconstruction of 3D Gaussian Splatting (3DGS) by replacing its ADAM optimizer with a tailored Levenberg-Marquardt (LM). Exist…

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…