7 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…
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…
Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs
Tom Yates, Yuzhou Cheng, Ignacio Alzugaray +3
Belief Propagation (BP) is a powerful algorithm for distributed inference in probabilistic graphical models, however it quickly becomes infeasible for practical compute and memory…
Radiant Foam Rendering on a Graph Processor
Zulkhuu Tuya, Ignacio Alzugaray, Nicholas Fry +1
Many emerging many-core accelerators replace a single large device memory with hundreds to thousands of lightweight cores, each owning only a small local SRAM and exchanging data v…
PixRO: Pixel-Distributed Rotational Odometry with Gaussian Belief Propagation
Ignacio Alzugaray, Riku Murai, Andrew Davison
Images are the standard input for most computer vision algorithms. However, their processing often reduces to parallelizable operations applied locally and independently to individ…