1 citations · 1 across the 7 of their papers we have counts for
9 papers
Hierarchy-GBP: Accelerating Factor Graph Inference via Abstraction and Recovery
Yuzhou Cheng, Tom Yates, Ignacio Alzugaray +3
Gaussian Belief Propagation (GBP) is a distributed inference algorithm that passes messages in graphical models, making it attractive for scalable spatial intelligence. However, we…
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 for scene rendering, understanding, and interaction. Approaches like Neural Radiation Fields and 3D Gaussian Splatting achieve impressive photore…
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…
MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors
Riku Murai, Eric Dexheimer, Andrew J. Davison
We present a real-time monocular dense SLAM system designed bottom-up from MASt3R, a two-view 3D reconstruction and matching prior. Equipped with this strong prior, our system is r…
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…
COMO: Compact Mapping and Odometry
Eric Dexheimer, Andrew J. Davison
We present COMO, a real-time monocular mapping and odometry system that encodes dense geometry via a compact set of 3D anchor points. Decoding anchor point projections into dense g…