ZID-Net: Zero-Inference Diffusion Prior Decoupling Network for Single Image Dehazing

arXiv:2604.23709 · cs.CV, eess.IV · Submitted 2026-04-26 · Read on arXiv

cs.CV, eess.IV

Submitted: 2026-04-26

Updated: 2026-09-27

Comments: Submitted to Neurocomputing. Includes 13 figures and 10 tables

Code: https://github.com/XoomitLXH/ZID-Net

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Diffusion Model — 17× in this paper · explained in 8 episodes
• Diffusion Models — 15× in this paper · explained in 6 episodes
• Transformer — 10× in this paper · explained in 2 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Regularization — 6× in this paper · explained in 3 episodes
• Computational overhead — 5× in this paper · explained in 2 episodes
• Channel-Spatial Laplacian Mask — 4× in this paper
• Diffusion Process — 4× in this paper · explained in 2 episodes
• Dynamic Feature Arbitration Block — 4× in this paper
• Fidelity — 4× in this paper · explained in 2 episodes
• Decoupling — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Aggregation — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Abstraction — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Adaptive Sampling — 1× in this paper · explained in 1 episode
• Adaptive sampling strategy — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Cross-Attention Mechanism — 1× in this paper · explained in 2 episodes
• Dark Channel Prior — 1× in this paper
• Decode — 1× in this paper · explained in 2 episodes
• Diffusion Processes — 1× in this paper · explained in 2 episodes
• Dual-Stream Architecture — 1× in this paper · explained in 3 episodes
• Dynamic Gating Mechanism — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Entanglement — 1× in this paper · explained in 3 episodes
• Guided attention — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Peak Signal-to-Noise Ratio — 1× in this paper
• Structural Integrity — 1× in this paper · explained in 3 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• UDPNet: Unleashing Depth-based Priors for Robust Image Dehazing
• Frequency-Guided Posterior Sampling for Diffusion-Based Image Restoration
• Very Deep Convolutional Networks for Large-Scale Image Recognition

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