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Image Dehazing On Sots Outdoor

Metrics

PSNR
SSIM

Results

Performance results of various models on this benchmark

Paper Title
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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