2 citations · 2 across the 5 of their papers we have counts for
5 papers · 1 filter
KV-Tracker: Real-Time Pose Tracking with Transformers
Marwan Taher, Ignacio Alzugaray, Kirill Mazur +2
Multi-view 3D geometry networks offer a powerful prior but are prohibitively slow for real-time applications. We propose a novel way to adapt them for online use, enabling real-tim…
4D Primitive-Mâché: Glueing Primitives for Persistent 4D Scene Reconstruction
Kirill Mazur, Marwan Taher, Andrew J. Davison
We present a dynamic reconstruction system that receives a casual monocular RGB video as input, and outputs a complete and persistent reconstruction of the scene. In other words, w…
ACE-SLAM: Scene Coordinate Regression for Neural Implicit Real-Time SLAM
Ignacio Alzugaray, Marwan Taher, Andrew J. Davison
We present a novel neural RGB-D Simultaneous Localization And Mapping (SLAM) system that learns an implicit map of the scene in real time. For the first time, we explore the use of…
EscherNet: A Generative Model for Scalable View Synthesis
Xin Kong, Shikun Liu, Xiaoyang Lyu +3
We introduce EscherNet, a multi-view conditioned diffusion model for view synthesis. EscherNet learns implicit and generative 3D representations coupled with a specialised camera p…
Fit-NGP: Fitting Object Models to Neural Graphics Primitives
Marwan Taher, Ignacio Alzugaray, Andrew J. Davison
Accurate 3D object pose estimation is key to enabling many robotic applications that involve challenging object interactions. In this work, we show that the density field created b…