Recent advances in machine learning have led to increased interest in solving visual
computing problems using methods that employ coordinate‐based neural networks. These …

Although solar fuels photocatalysis offers the promise of converting carbon dioxide directly
with sunlight as commercially scalable solutions have remained elusive over the past few …

We consider the attributes of a point cloud as samples of a vector-valued volumetric function
at discrete positions. To compress the attributes given the positions, we compress the …

Abstract We propose Medial Atom Ray Fields (MARFs), a novel neural object representation
that enables accurate differentiable surface rendering with a single network evaluation per …

We introduce a highly efficient light visibility estimation method, called L-Tracing, for
reflectance factorization on neural implicit surfaces. Light visibility is indispensable for …

Generalizable neural surface reconstruction techniques have attracted great attention in
recent years. However, they encounter limitations of low confidence depth distribution and …

In the field of holographic-type communication (HTC), this paper presents a comprehensive
exploration of existing technologies and proposes a novel, modular architecture for …

Every now and then a new dataset appears that aims to help training computer vision
models for autonomous vehicles (AVs), being KITTI [1] the most famous, but others like …

Light fields describe the amount and direction of light rays flowing through every point in
space. They allow reproducing different perspectives of a captured scene or a digitized …

Accurate simulation of sound propagation is pivotal across a spectrum of disciplines ranging
from virtual reality to architectural acoustics. This study delves into the innovative …