A Collection of Papers and Codes for ECCV2024/ECCV2020 Low Level Vision
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Updated
Jul 2, 2024
A Collection of Papers and Codes for ECCV2024/ECCV2020 Low Level Vision
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
[AAAI2024] Omni-Kernel Network for Image Restoration
EDN-GTM Scheme for Single Image Dehazing
🌫️ Haze Removal with Dark Prior Channel 🌫️ "We’re tackling hazy images using the Dark Prior Channel method, which clears haze, dust, and fog by analyzing pixel intensity. 🚀 While we’ve seen promising results, limited resources impact our full dehazing capability. 🖼️✨ Our work enhances image clarity and contributes to haze removal techniques."
[ICLR 2023] Selective Frequency Network for Image Restoration
Compound Multi-branch Feature Fusion for Real Image Restoration
A Collection of Low Level Vision Research Groups
[Knowledge-Based Systems] Exploring the Potential of Channel Interactions for Image Restoration
python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"
[Neural Networks] Dual-domain strip attention for image restoration
PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation
[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 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
Non-Local Image Dehazing using haze-lines
[TPAMI] Image Restoration via Frequency Selection
Haze Removal via Regional Saturation-Value Translation and Soft Segmentation
the repository describes an attempt to make an image dehazer using autoencoders
Distillation of Efficient Dehazing Networks via Soft Knowledge
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