Overview
The goal of this workshop is to bring together researchers
who are studying approaches to reconstructing and understanding 3D
models in challenging, real-world environments. While significant progress
has been made in the field of multi-view 3D modeling, many existing
methods are limited by assumptions of controlled acquisition, such as
static scenes and densely captured viewpoints. On the other hand, advances in 3D learning and the widespread availability of 2D and 3D visual data offer new opportunities to overcome these challenges and make
3D modeling more robust, widely applicable, easily accessible, and cost
effective. This workshop aims to address the challenges of 3D modeling in
uncontrolled, partially-observed, and noisy environments and to explore
potential future directions in the field. By fostering communication and
highlighting important work in this area, we hope to inspire new research
topics and breakthroughs