6 papers
Remove360: Benchmarking Residuals After Object Removal in 3D Gaussian Splatting
Simona Kocour, Assia Benbihi, Torsten Sattler
An object can disappear from a 3D scene, yet still be detectable. Even after visual removal, modern vision models may infer what was originally present. In this work, we introduce…
Comparative Evaluation of 3D Reconstruction Methods for Object Pose Estimation
Varun Burde, Assia Benbihi, Pavel Burget +1
Object pose estimation is essential to many industrial applications involving robotic manipulation, navigation, and augmented reality. Current generalizable object pose estimators,…
Is there anything left? Measuring semantic residuals of objects removed from 3D Gaussian Splatting
Simona Kocour, Assia Benbihi, Aikaterini Adam +1
Searching in and editing 3D scenes has become extremely intuitive with trainable scene representations that allow linking human concepts to elements in the scene. These operations…
EdgeGaussians -- 3D Edge Mapping via Gaussian Splatting
Kunal Chelani, Assia Benbihi, Torsten Sattler +1
With their meaningful geometry and their omnipresence in the 3D world, edges are extremely useful primitives in computer vision. 3D edges comprise of lines and curves, and methods…
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…
Differentiable Product Quantization for Memory Efficient Camera Relocalization
Zakaria Laskar, Iaroslav Melekhov, Assia Benbihi +2
Camera relocalization relies on 3D models of the scene with a large memory footprint that is incompatible with the memory budget of several applications. One solution to reduce the…