activity
20202026
most citedWildGaussians: 3D Gaussian Splatting in the Wild

3 citations · 4 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.CV2024★ 1 cited

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024★ 3 cited

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…

cs.CV2024

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 (…