2026
Harnessing the Power of Foundation Models for Accurate Material Classification
CVPR 2026
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