Image Dehazing On Sots Outdoor

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PSNR

SSIM

평가 결과

이 벤치마크에서 각 모델의 성능 결과

			Paper Title
ChaIR	40.73	0.997	Exploring the potential of channel interactions for image restoration
FSNet	40.40	0.997	Image Restoration via Frequency Selection
SFNet	40.05	0.996	Selective Frequency Network for Image Restoration
Instruct-IPT	39.95	0.992	Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation
ConvIR	39.42	0.996	Revitalizing Convolutional Network for Image Restoration
IRNeXt	39.18	0.996	IRNeXt: Rethinking Convolutional Network Design for Image Restoration
CasDyF-Net	38.86	0.995	CasDyF-Net: Image Dehazing via Cascaded Dynamic Filters
DSANet	38.39	0.995	Dual-domain strip attention for image restoration
SANet	38.01	0.995	Strip Attention for Image Restoration
FocalNet	37.71	0.995	Focal Network for Image Restoration
OKNet	37.68	0.995	Omni-Kernel Network for Image Restoration
MaIR	36.96	0.991	MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
C2PNet	36.68	0.99	Curricular Contrastive Regularization for Physics-aware Single Image Dehazing
gUNet-D	36.64	0.986	Rethinking Performance Gains in Image Dehazing Networks
DEA-Net-CR	36.59	0.9897	DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
MixDehazeNet	36.50	0.986	MixDehazeNet : Mix Structure Block For Image Dehazing Network
OneRestore	35.58	0.9814	OneRestore: A Universal Restoration Framework for Composite Degradation
DehazeFormer-B	34.95	0.984	Vision Transformers for Single Image Dehazing
MAXIM-2S	34.19	-	MAXIM: Multi-Axis MLP for Image Processing
FFA-Net	33.57	0.9804	FFA-Net: Feature Fusion Attention Network for Single Image Dehazing

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Image Dehazing On Sots Outdoor

평가 지표

평가 결과