Dominik Narnhofer

According to our database, Dominik Narnhofer authored at least 14 papers between 2019 and 2025.

Collaborative distances:

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

2025

VIST3A: Text-to-3D by Stitching a Multi-view Reconstruction Network to a Video Generator.

Hyojun Go, Dominik Narnhofer, Goutam Bhat, Prune Truong, Federico Tombari, Konrad Schindler

CoRR, October, 2025

Continuous Space-Time Video Super-Resolution with 3D Fourier Fields.

Alexander Becker, Julius Erbach, Dominik Narnhofer, Konrad Schindler

CoRR, September, 2025

FlowSDF: Flow Matching for Medical Image Segmentation Using Distance Transforms.

Lea Bogensperger, Dominik Narnhofer, Alexander Falk, Konrad Schindler, Thomas Pock

Int. J. Comput. Vis., July, 2025

Solving Inverse Problems with FLAIR.

Julius Erbach, Dominik Narnhofer, Andreas Dombos, Bernt Schiele, Jan Eric Lenssen, Konrad Schindler

CoRR, June, 2025

A Variational Perspective on Generative Protein Fitness Optimization.

Lea Bogensperger, Dominik Narnhofer, Ahmed Allam, Konrad Schindler, Michael Krauthammer

CoRR, January, 2025

Thera: Aliasing-Free Arbitrary-Scale Super-Resolution with Neural Heat Fields.

Alexander Becker, Rodrigo Caye Daudt, Dominik Narnhofer, Torben Peters, Nando Metzger, Jan Dirk Wegner, Konrad Schindler

Trans. Mach. Learn. Res., 2025

Video Depth without Video Models.

Bingxin Ke, Dominik Narnhofer, Shengyu Huang, Lei Ke, Torben Peters, Katerina Fragkiadaki, Anton Obukhov, Konrad Schindler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging.

Dominik Narnhofer, Andreas Habring, Martin Holler, Thomas Pock

SIAM J. Imaging Sci., March, 2024

LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networks.

Michelle Halbheer, Dominik J. Mühlematter, Alexander Becker, Dominik Narnhofer, Helge Aasen, Konrad Schindler, Mehmet Ozgur Turkoglu

CoRR, 2024

MULDE: Multiscale Log-Density Estimation via Denoising Score Matching for Video Anomaly Detection.

Jakub Micorek, Horst Possegger, Dominik Narnhofer, Horst Bischof, Mateusz Kozinski

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

2023

Majorization-Minimization for sparse SVMs.

Alessandro Benfenati, Emilie Chouzenoux, Giorgia Franchini, Salla Latva-Aijo, Dominik Narnhofer, Jean-Christophe Pesquet, Sebastian J. Scott, Mahsa Yousefi

CoRR, 2023

Score-Based Generative Models for Medical Image Segmentation Using Signed Distance Functions.

Lea Bogensperger, Dominik Narnhofer, Filip Ilic, Thomas Pock

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022

Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction.

Dominik Narnhofer, Alexander Effland, Erich Kobler, Kerstin Hammernik, Florian Knoll, Thomas Pock

IEEE Trans. Medical Imaging, 2022

2019

Using Synthetic Training Data for Deep Learning-Based GBM Segmentation.

Lydia Lindner, Dominik Narnhofer, Maximilian Weber, Christina Gsaxner, Malgorzata Kolodziej, Jan Egger

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019