Dehazing

(arXiv 2021.09) Hybrid Local-Global Transformer for Image Dehazing, [Paper]
(arXiv 2022.04) Vision Transformers for Single Image Dehazing, [Paper]
(arXiv 2022.10) Semi-UFormer: Semi-supervised Uncertainty-aware Transformer for Image Dehazing, [Paper]
(arXiv 2023.03) SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency, [Paper]
(arXiv 2023.04) A Data-Centric Solution to NonHomogeneous Dehazing via Vision Transformer, [Paper], [Code]
(arXiv 2023.05) NightHazeFormer: Single Nighttime Haze Removal Using Prior Query Transformer, [Paper]
(arXiv 2023.08) MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing, [Paper], [Code]
(arXiv 2023.12) DHFormer: A Vision Transformer-Based Attention Module for Image Dehazing, [Paper]
(arXiv 2024.01) WaveletFormerNet: A Transformer-based Wavelet Network for Real-world Non-homogeneous and Dense Fog Removal, [Paper]
(arXiv 2024.07) Vision Transformer with Key-select Routing Attention for Single Image Dehazing, [Paper]
(arXiv 2024.07) DehazeDCT: Towards Effective Non-Homogeneous Dehazing via Deformable Convolutional Transformer, [Paper], [Code]
(arXiv 2024.07) Restoring Images in Adverse Weather Conditions via Histogram Transformer, [Paper], [Code]
(arXiv 2024.12) Distilled Pooling Transformer Encoder for Efficient Realistic Image Dehazing, [Paper], [Code]
(arXiv 2025.01) Transformer-Driven Inverse Problem Transform for Fast Blind Hyperspectral Image Dehazing, [Paper]
(arXiv 2025.04) Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing, [Paper], [Code]

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