2 papers
cs.CV2025
Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing
Ruiyi Wang, Yushuo Zheng, Zicheng Zhang +4
Existing real-world image dehazing methods primarily attempt to fine-tune pre-trained models or adapt their inference procedures, thus heavily relying on the pre-trained models and…
cs.CV2025
HazeCLIP: Towards Language Guided Real-World Image Dehazing
Ruiyi Wang, Wenhao Li, Xiaohong Liu +4
Existing methods have achieved remarkable performance in image dehazing, particularly on synthetic datasets. However, they often struggle with real-world hazy images due to domain…