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Image Dehazing On Sots Outdoor

Metrics

PSNR
SSIM

Results

Performance results of various models on this benchmark

Paper TitleRepository
ChaIR40.730.997Exploring the potential of channel interactions for image restoration-
FSNet40.400.997Image Restoration via Frequency Selection-
SFNet40.050.996Selective Frequency Network for Image Restoration-
Instruct-IPT39.950.992Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation
ConvIR39.420.996Revitalizing Convolutional Network for Image Restoration-
IRNeXt39.180.996IRNeXt: Rethinking Convolutional Network Design for Image Restoration-
CasDyF-Net38.860.995CasDyF-Net: Image Dehazing via Cascaded Dynamic Filters
DSANet38.390.995Dual-domain strip attention for image restoration-
SANet38.010.995Strip Attention for Image Restoration-
FocalNet37.710.995Focal Network for Image Restoration-
OKNet37.680.995Omni-Kernel Network for Image Restoration-
MaIR36.960.991MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
C2PNet36.680.99Curricular Contrastive Regularization for Physics-aware Single Image Dehazing
gUNet-D36.640.986Rethinking Performance Gains in Image Dehazing Networks
DEA-Net-CR36.590.9897DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
MixDehazeNet36.500.986MixDehazeNet : Mix Structure Block For Image Dehazing Network
OneRestore35.580.9814OneRestore: A Universal Restoration Framework for Composite Degradation
DehazeFormer-B34.950.984Vision Transformers for Single Image Dehazing
MAXIM-2S34.19-MAXIM: Multi-Axis MLP for Image Processing
FFA-Net33.570.9804FFA-Net: Feature Fusion Attention Network for Single Image Dehazing
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