[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
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Apr 24, 2024 - Python
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
[IEEE TIP] Vision Transformers for Single Image Dehazing
PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]
[CVPR 2023] | RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors
[CVPR 2018 NTIRE Workshop] Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing
[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"
[ICLR 2023] Selective Frequency Network for Image Restoration
Compound Multi-branch Feature Fusion for Real Image Restoration
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation
[Neural Networks] Dual-domain strip attention for image restoration
EDN-GTM Scheme for Single Image Dehazing
[TPAMI] Image Restoration via Frequency Selection
[Knowledge-Based Systems] Exploring the Potential of Channel Interactions for Image Restoration
Self-supervised Learning and Adaptation for Single Image Dehazing (IJCAI-ECAI 2022 long presentation)
Code of the paper "Learning a Patch Quality Comparator for Single Image Dehazing"
[AAAI2024] Omni-Kernel Network for Image Restoration
This repository is an official PyTorch implementation of the paper "Progressive Feature Fusion Network for Realistic Image Dehazing". (ACCV 2018)
Single image-dehazing using locally adaptive processing
Lightweight and Efficient Image Dehazing Network Guided by Transmission Estimation from Real-world Hazy Scenes; accepted by Sensors 2021, 21(3), 960, MDPI; https://doi.org/10.3390/s21030960
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