HazeFlow: Revisit Haze Physical Model as ODE and Non-Homogeneous Haze Generation for Real-World Dehazing
Fuente:
arXiv
Saved in:
| Main Authors: | Shin, Junseong, Chung, Seungwoo, Yang, Yunjeong, Kim, Tae Hyun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing
by: Wang, Ruiyi, et al.
Published: (2025)
by: Wang, Ruiyi, et al.
Published: (2025)
HazeCLIP: Towards Language Guided Real-World Image Dehazing
by: Wang, Ruiyi, et al.
Published: (2024)
by: Wang, Ruiyi, et al.
Published: (2024)
HazeSpace2M: A Dataset for Haze Aware Single Image Dehazing
by: Islam, Md Tanvir, et al.
Published: (2024)
by: Islam, Md Tanvir, et al.
Published: (2024)
Seeing Beyond Haze: Generative Nighttime Image Dehazing
by: Lin, Beibei, et al.
Published: (2025)
by: Lin, Beibei, et al.
Published: (2025)
Deep Variational Bayesian Modeling of Haze Degradation Process
by: Im, Eun Woo, et al.
Published: (2024)
by: Im, Eun Woo, et al.
Published: (2024)
IncepDeHazeGAN: Novel Satellite Image Dehazing
by: Pokuri, Tejeswar, et al.
Published: (2026)
by: Pokuri, Tejeswar, et al.
Published: (2026)
Efficient Dual-domain Image Dehazing with Haze Prior Perception
by: Zheng, Lirong, et al.
Published: (2025)
by: Zheng, Lirong, et al.
Published: (2025)
Residual-based Efficient Bidirectional Diffusion Model for Image Dehazing and Haze Generation
by: Liu, Bing, et al.
Published: (2025)
by: Liu, Bing, et al.
Published: (2025)
PANet: A Physics-guided Parametric Augmentation Net for Image Dehazing by Hazing
by: Chang, Chih-Ling, et al.
Published: (2024)
by: Chang, Chih-Ling, et al.
Published: (2024)
NightHaze: Nighttime Image Dehazing via Self-Prior Learning
by: Lin, Beibei, et al.
Published: (2024)
by: Lin, Beibei, et al.
Published: (2024)
PHATNet: A Physics-guided Haze Transfer Network for Domain-adaptive Real-world Image Dehazing
by: Tsai, Fu-Jen, et al.
Published: (2025)
by: Tsai, Fu-Jen, et al.
Published: (2025)
LMHaze: Intensity-aware Image Dehazing with a Large-scale Multi-intensity Real Haze Dataset
by: Zhang, Ruikun, et al.
Published: (2024)
by: Zhang, Ruikun, et al.
Published: (2024)
HazeMatching: Dehazing Light Microscopy Images with Guided Conditional Flow Matching
by: Ray, Anirban, et al.
Published: (2025)
by: Ray, Anirban, et al.
Published: (2025)
Enhancing Hazy Wildlife Imagery: AnimalHaze3k and IncepDehazeGan
by: Rai, Shivarth, et al.
Published: (2026)
by: Rai, Shivarth, et al.
Published: (2026)
Haze-Aware Attention Network for Single-Image Dehazing
by: Tong, Lihan, et al.
Published: (2024)
by: Tong, Lihan, et al.
Published: (2024)
DFR-Net: Density Feature Refinement Network for Image Dehazing Utilizing Haze Density Difference
by: Wang, Zhongze, et al.
Published: (2023)
by: Wang, Zhongze, et al.
Published: (2023)
Breaking Through the Haze: An Advanced Non-Homogeneous Dehazing Method based on Fast Fourier Convolution and ConvNeXt
by: Zhou, Han, et al.
Published: (2023)
by: Zhou, Han, et al.
Published: (2023)
Towards Optimal Aggregation of Varying Range Dependencies in Haze Removal
by: Zhang, Xiaozhe, et al.
Published: (2024)
by: Zhang, Xiaozhe, et al.
Published: (2024)
Haze Removal via Regional Saturation-Value Translation and Soft Segmentation
by: Tran, Le-Anh, et al.
Published: (2024)
by: Tran, Le-Anh, et al.
Published: (2024)
RPD-Diff: Region-Adaptive Physics-Guided Diffusion Model for Visibility Enhancement under Dense and Non-Uniform Haze
by: Zhang, Ruicheng, et al.
Published: (2025)
by: Zhang, Ruicheng, et al.
Published: (2025)
Single Image Defogging Using a Fourth-Order Telegraph PDE Guided by Physical Haze Modeling
by: Kumar, Manish, et al.
Published: (2026)
by: Kumar, Manish, et al.
Published: (2026)
Nighttime Hazy Image Enhancement via Progressively and Mutually Reinforcing Night-Haze Priors
by: Zhu, Chen, et al.
Published: (2026)
by: Zhu, Chen, et al.
Published: (2026)
Enhancing Visibility in Nighttime Haze Images Using Guided APSF and Gradient Adaptive Convolution
by: Jin, Yeying, et al.
Published: (2023)
by: Jin, Yeying, et al.
Published: (2023)
Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images
by: Chen, Jiuchen, et al.
Published: (2025)
by: Chen, Jiuchen, et al.
Published: (2025)
Multi-Knowledge-oriented Nighttime Haze Imaging Enhancer for Vision-driven Intelligent Systems
by: Chen, Ai, et al.
Published: (2025)
by: Chen, Ai, et al.
Published: (2025)
Hierarchical Semantic-Visual Fusion of Visible and Near-infrared Images for Long-range Haze Removal
by: Li, Yi, et al.
Published: (2025)
by: Li, Yi, et al.
Published: (2025)
Sharpening the Haze
Published: (2020)
Published: (2020)
Continuous Degradation Modeling via Latent Flow Matching for Real-World Super-Resolution
by: Kim, Hyeonjae, et al.
Published: (2026)
by: Kim, Hyeonjae, et al.
Published: (2026)
DehazeDCT: Towards Effective Non-Homogeneous Dehazing via Deformable Convolutional Transformer
by: Dong, Wei, et al.
Published: (2024)
by: Dong, Wei, et al.
Published: (2024)
Non-aligned supervision for Real Image Dehazing
by: Fan, Junkai, et al.
Published: (2023)
by: Fan, Junkai, et al.
Published: (2023)
Multi-Branch Non-Homogeneous Image Dehazing via Concentration Partitioning and Image Fusion
by: Zhang, Yingming, et al.
Published: (2026)
by: Zhang, Yingming, et al.
Published: (2026)
Photochemical Hazes in Exoplanetary Skies with Diamonds: Microphysical Modeling of Haze Composition Evolution via Chemical Vapor Deposition
by: Ohno, Kazumasa
Published: (2024)
by: Ohno, Kazumasa
Published: (2024)
Iterative Predictor-Critic Code Decoding for Real-World Image Dehazing
by: Fu, Jiayi, et al.
Published: (2025)
by: Fu, Jiayi, et al.
Published: (2025)
Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training
by: Lan, Yunwei, et al.
Published: (2025)
by: Lan, Yunwei, et al.
Published: (2025)
Clouds and Hazes in the Atmospheres of Triton and Pluto
by: Gao, Peter, et al.
Published: (2024)
by: Gao, Peter, et al.
Published: (2024)
Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video
by: Fan, Junkai, et al.
Published: (2024)
by: Fan, Junkai, et al.
Published: (2024)
When Schrödinger Bridge Meets Real-World Image Dehazing with Unpaired Training
by: Lan, Yunwei, et al.
Published: (2025)
by: Lan, Yunwei, et al.
Published: (2025)
Haze–cloud correlations mediated by supersaturation fluctuations
by: Hamed Fahandezh Sadi, et al.
Published: (2026)
by: Hamed Fahandezh Sadi, et al.
Published: (2026)
HDR-NSFF: High Dynamic Range Neural Scene Flow Fields
by: Dong-Yeon, Shin, et al.
Published: (2026)
by: Dong-Yeon, Shin, et al.
Published: (2026)
WTCL-Dehaze: Rethinking Real-world Image Dehazing via Wavelet Transform and Contrastive Learning
by: Appiah, Divine Joseph, et al.
Published: (2024)
by: Appiah, Divine Joseph, et al.
Published: (2024)
Similar Items
-
Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing
by: Wang, Ruiyi, et al.
Published: (2025) -
HazeCLIP: Towards Language Guided Real-World Image Dehazing
by: Wang, Ruiyi, et al.
Published: (2024) -
HazeSpace2M: A Dataset for Haze Aware Single Image Dehazing
by: Islam, Md Tanvir, et al.
Published: (2024) -
Seeing Beyond Haze: Generative Nighttime Image Dehazing
by: Lin, Beibei, et al.
Published: (2025) -
Deep Variational Bayesian Modeling of Haze Degradation Process
by: Im, Eun Woo, et al.
Published: (2024)