2026
DuRP: Dual-Stage Physics-Embedded Learning for Joint Radiance and Polarization Restoration
ICML 2026poster
Polarization information is valuable for many computer vision applications. However, in hazy environments, polarization information is severely attenuated due to the degradation of captured polarized images. Existing dehazing methods struggle to effectively restore polarization information, as singl…