11 citations · 11 across the 4 of their papers we have counts for
6 papers
Rendering 3D Gaussians on a Graph Processor
Nicholas Fry, Ignacio Alzugaray, Mark Pupilli +2
We present the first implementation of a 3D Gaussian renderer on an Intelligence Processing Unit (IPU), comprising 1,472 independent tiles with only on-chip SRAM; constraints that…
Triangle Splatting SLAM
Nicholas Fry, Eric Dexheimer, Kirill Mazur +2
We present a dense RGB-D SLAM system using differentiable triangles as the 3D map representation. While 3D Gaussian Splatting has emerged as the leading method for novel-view synth…
PixVOD: Pixel-Distributed Direct Visual Odometry and Depth Estimation
Shinjeong Kim, Ignacio Alzugaray, Callum Rhodes +2
Images composed of 2D pixel arrays are the standard input to computer vision algorithms, yet many underlying computations can be distributed across pixels. Transmitting raw, redund…
MLP Splatting: Object-Centric Neural Fields
Shinjeong Kim, Yuzhou Cheng, Xin Kong +2
3D representations are fundamental to scene rendering, understanding, and interaction. Recent approaches, such as 3D Gaussian Splatting and Neural Radiance Fields, achieve impressi…
Distributed Simultaneous Localisation and Auto-Calibration using Gaussian Belief Propagation
Riku Murai, Ignacio Alzugaray, Paul H. J. Kelly +1
We present a novel scalable, fully distributed, and online method for simultaneous localisation and extrinsic calibration for multi-robot setups. Individual a priori unknown robot…
Gaussian Splatting SLAM
Hidenobu Matsuki, Riku Murai, Paul H. J. Kelly +1
We present the first application of 3D Gaussian Splatting in monocular SLAM, the most fundamental but the hardest setup for Visual SLAM. Our method, which runs live at 3fps, utilis…