الرئيسية الأخبار أحدث الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Single Image Deraining On Rain100L

المقاييس

PSNR

SSIM

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	PSNR	SSIM	Paper Title	Repository
IPT	41.62	0.988	Pre-Trained Image Processing Transformer
MCW-Net	39.73	0.988	MCW-Net: Single Image Deraining with Multi-level Connections and Wide Regional Non-local Blocks
CAPTNet	39.22	0.981	Prompt-based Ingredient-Oriented All-in-One Image Restoration
PReNet	37.48	0.979	Progressive Image Deraining Networks: A Better and Simpler Baseline
MPRNet	36.40	0.965	Multi-Stage Progressive Image Restoration
MAXIM	-	0.977	MAXIM: Multi-Axis MLP for Image Processing
Instruct-IPT	39.35	0.977	Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation
MSPFN	32.40	0.933	Multi-Scale Progressive Fusion Network for Single Image Deraining
M3SNet	40.04	0.985	A Mountain-Shaped Single-Stage Network for Accurate Image Restoration
HINet	37.28	0.97	HINet: Half Instance Normalization Network for Image Restoration
RESCAN	-	0.881	Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining	-
MHNet	39.47	0.984	Mixed Hierarchy Network for Image Restoration
SEMI	25.03	0.842	Semi-supervised Transfer Learning for Image Rain Removal
DerainNet	-	0.884	Clearing the Skies: A deep network architecture for single-image rain removal
IR-SDE	38.3	0.9805	Image Restoration with Mean-Reverting Stochastic Differential Equations
UMRL	-	0.923	Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining
SFNet	38.21	0.974	Selective Frequency Network for Image Restoration
Restormer	38.99	0.978	Restormer: Efficient Transformer for High-Resolution Image Restoration
DIDMDN	-	0.741	Density-aware Single Image De-raining using a Multi-stream Dense Network

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