1 code implementation • 11 Apr 2024 • Keonhee Han, Dominik Muhle, Felix Wimbauer, Daniel Cremers
In this work, we propose to fuse the scene reconstruction from multiple images and distill this knowledge into a more accurate single-view scene reconstruction.
no code implementations • 11 Oct 2023 • Adrian Hayler, Felix Wimbauer, Dominik Muhle, Christian Rupprecht, Daniel Cremers
3D semantic scene understanding is a fundamental challenge in computer vision.
no code implementations • CVPR 2023 • Dominik Muhle, Lukas Koestler, Krishna Murthy Jatavallabhula, Daniel Cremers
We propose a differentiable nonlinear least squares framework to account for uncertainty in relative pose estimation from feature correspondences.
no code implementations • CVPR 2022 • Dominik Muhle, Lukas Koestler, Nikolaus Demmel, Florian Bernard, Daniel Cremers
However, their approach does not take into account uncertainties, so that the accuracy of the estimated relative pose is highly dependent on accurate feature positions in the target frame.