3 accepted papers
Material classification has emerged as a critical task in computer vision and graphics, supporting the assignment of accurate material properties to a wide range of digital and real-world applications. While traditionally framed as an image classification task, this domain faces significant challeng
The challenge of dynamic scenes has long been one of the core issues in the application and generalization of SLAM systems. Traditional visual SLAM systems often rely on depth sensors and prior camera parameters, making it difficult to correct dynamic challenges from arbitrary input images while sim…
We introduce the challenging problem of multi-object system identification from videos, for which prior methods are ill-suited due to their focus on single-object scenes or discrete material classification with a fixed set of material prototypes. To address this, we propose MOSIV, a new framework th…