FORTH Institute of Electronic Structure and Laser

One algebra for all: geometric algebra methods for neurosymbolic XR scene authoring, animation and neural rendering

Abstract This position paper delves into the transformative role of geometric algebra (GA) in advancing specific areas of computer graphics (CG) and extended reality (XR), particularly in character animation, rendering, rigging, neural rendering and generative artificial intellig...

Unsupervised Estimation of Post-Event Standing Urban Floodwater Depth Using Aerial Imagery and Digital Terrain Models

Accurate estimation of floodwater depth is vital for disaster management but traditionally relies on data-intensive hydrodynamic models or supervised deep learning restricted by labeled data requirements. To address these bottlenecks, this study proposes a fully unsupervised, tra...