Dominik Muhle

According to our database, Dominik Muhle authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

Dream-to-Recon: Monocular 3D Reconstruction with Diffusion-Depth Distillation from Single Images.

Philipp Wulff, Felix Wimbauer, Dominik Muhle, Daniel Cremers

CoRR, August, 2025

GECO: Geometrically Consistent Embedding with Lightspeed Inference.

Regine Hartwig, Dominik Muhle, Riccardo Marin, Daniel Cremers

CoRR, August, 2025

IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals.

Markus Gross, Aya Fahmy, Danit Niwattananan, Dominik Muhle, Rui Song, Daniel Cremers, Henri Meeß

CoRR, June, 2025

AnyCam: Learning to Recover Camera Poses and Intrinsics from Casual Videos.

Felix Wimbauer, Weirong Chen, Dominik Muhle, Christian Rupprecht, Daniel Cremers

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

Nonisotropic Gaussian Diffusion for Realistic 3D Human Motion Prediction.

Cecilia Curreli, Dominik Muhle, Abhishek Saroha, Zhenzhang Ye, Riccardo Marin, Daniel Cremers

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

2024

Gaussian Splatting in Style.

Abhishek Saroha, Mariia Gladkova, Cecilia Curreli, Dominik Muhle, Tarun Yenamandra, Daniel Cremers

Proceedings of the Pattern Recognition, 2024

Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation.

Keonhee Han, Dominik Muhle, Felix Wimbauer, Daniel Cremers

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

S4C: Self-Supervised Semantic Scene Completion With Neural Fields.

Adrian Hayler, Felix Wimbauer, Dominik Muhle, Christian Rupprecht, Daniel Cremers

Proceedings of the International Conference on 3D Vision, 2024

2023

Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares.

Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula, Daniel Cremers

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

The Probabilistic Normal Epipolar Constraint for Frame- To-Frame Rotation Optimization under Uncertain Feature Positions.

Dominik Muhle, Lukas Koestler, Nikolaus Demmel, Florian Bernard, Daniel Cremers

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022