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From unstable conditioning to disentangled prompts: Variance-stable diffusion model for harsh underwater image enhancement

delete2026-08-04
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PRE
AI
Y
Yu Zhou
S
Shengning Zhou
G
Genji Yuan
H
Huiyu Li
G
Guodong Fan *
J
Jinjiang Li
DOI：10.1016/j.patcog.2026.114580delete
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Abstract

Abstract

En 中文
• We propose MCCNP to decouple color and contrast, mitigating conditioning instability. • We introduce a dual-domain constraint to reduce color drift and structural artifacts. • We demonstrate robust enhancement across degradations with improved perceptual quality.
Keywords:
Underwater image enhancement
Diffusion model
Prompt guidance

Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

Organization

S
Shandong Technology and Business University
Scholars:
471
Papers: 309
Citations: 21
S
shandong university of finance and economics
Scholars:
141
Papers: 97
Citations: 0
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