Multi-frequency shared-feature-learning based diffusion model for removing surgical smoke

Hao Li

doi:10.1016/j.patcog.2025.112447

Multi-frequency shared-feature-learning based diffusion model for removing surgical smoke

2025-09-15

0

PRE

AI

DOI：10.1016/j.patcog.2025.112447

Original

Original request for help

Save

Abstract

En 中文

• Shared feature learning map both smoky/smokeless images into inherent feature space. • The input is wrapped by smoke attention learning to for optimizing shared feature. • Multi-frequency learning captures both the shared and supplementary feature. • The supplementary features encoded by a frequency compensation strategy.

Multi-frequency shared-feature-learning based diffusion model for removing surgical smoke

Abstract

Journal

Organization