3 citations · 4 across the 8 of their papers we have counts for
11 papers
DGSfM: Depth-Guided Scale-Aware Global Structure-from-Motion
Sithu Aung, Viktor Kocur, Yaqing Ding +2
Global Structure-from-Motion (SfM) is an efficient paradigm for recovering camera poses and sparse 3D structure from unordered images. However, its reliance on scale-ambiguous epip…
Depth2Pose: A Pose-Based Benchmark for Monocular Depth Estimation without Ground-Truth Depth
Viktor Kocur, Sithu Aung, Gabrielle Flood +4
Monocular depth estimation has improved significantly in recent years, driven by increasingly powerful models and large-scale training data. Predicted depth is increasingly used as…
Are Minimal Radial Distortion Solvers Really Necessary for Relative Pose Estimation?
Viktor Kocur, Charalambos Tzamos, Yaqing Ding +3
Estimating the relative pose between two cameras is a fundamental step in many applications such as Structure-from-Motion. The common approach to relative pose estimation is to app…
A Guide to Structureless Visual Localization
Vojtech Panek, Qunjie Zhou, Yaqing Ding +4
Visual localization algorithms, i.e., methods that estimate the camera pose of a query image in a known scene, are core components of many applications, including self-driving cars…
RePoseD: Efficient Relative Pose Estimation With Known Depth Information
Yaqing Ding, Viktor Kocur, Václav Vávra +4
Recent advances in monocular depth estimation methods (MDE) and their improved accuracy open new possibilities for their applications. In this paper, we investigate how monocular d…
Are Minimal Radial Distortion Solvers Necessary for Relative Pose Estimation?
Charalambos Tzamos, Viktor Kocur, Yaqing Ding +2
Estimating the relative pose between two cameras is a fundamental step in many applications such as Structure-from-Motion. The common approach to relative pose estimation is to app…
Combining Absolute and Semi-Generalized Relative Poses for Visual Localization
Vojtech Panek, Torsten Sattler, Zuzana Kukelova
Visual localization is the problem of estimating the camera pose of a given query image within a known scene. Most state-of-the-art localization approaches follow the structure-bas…
Obfuscation Based Privacy Preserving Representations are Recoverable Using Neighborhood Information
Kunal Chelani, Assia Benbihi, Fredrik Kahl +2
Rapid growth in the popularity of AR/VR/MR applications and cloud-based visual localization systems has given rise to an increased focus on the privacy of user content in the local…
WildGaussians: 3D Gaussian Splatting in the Wild
Jonas Kulhanek, Songyou Peng, Zuzana Kukelova +2
While the field of 3D scene reconstruction is dominated by NeRFs due to their photorealistic quality, 3D Gaussian Splatting (3DGS) has recently emerged, offering similar quality wi…
NerfBaselines: Consistent and Reproducible Evaluation of Novel View Synthesis Methods
Jonas Kulhanek, Torsten Sattler
Novel view synthesis is an important problem with many applications, including AR/VR, gaming, and robotic simulations. With the recent rapid development of Neural Radiance Fields (…
P1AC: Revisiting Absolute Pose From a Single Affine Correspondence
Jonathan Ventura, Zuzana Kukelova, Torsten Sattler +1
Affine correspondences have traditionally been used to improve feature matching over wide baselines. While recent work has successfully used affine correspondences to solve various…