List your company

Dehazing on RESIDE

4.69FIDTPGDiff
2.92214.85626.7938.724Mar 1, 2024Jun 25, 2024Oct 19, 2024Feb 13, 2025Jun 9, 2025Oct 3, 2025Jan 28, 2026

Evaluation results

MethodLinks
TPGDiff2026.014.69—32.870.9790.021
DiffRes2026.015.08—30.870.970.023
DA-CLIP2026.015.52—30.160.9360.03
DehazeFormer2026.017.58—30.290.9640.045
MAXIM2026.018.12—29.120.9320.043
IR-SDE2026.018.33—25.250.9060.06
GridDehazeNet2026.0110.62—25.860.9440.048
GCANet2026.0111.52—26.590.9350.052
InstructP2PMethod Category=Diffusion-based models2024.0333.4812.76———
InstructP2PSteps=100, MACs(G)=103381, Para.(M)=10272026.0133.4812.76———
Diff-PluginMethod Category=Diffusion-based models2024.0334.6814.38———
Diff-PluginSteps=20, MACs(G)=30400, Para.(M)=12562026.0134.6814.38———
Nano-Diff-PluginSteps=20, MACs(G)=17120, Para.(M)=7122026.0135.2315.03———
WGWS-NetMethod Category=Regression-based multi-task models, re-trained=true2024.0336.2515.79———
Regression-based specialized modelsMethod Category=Regression-based specialized models2024.0336.415.66———
ControlNetMethod Category=Diffusion-based models, re-trained=true2024.0337.0215.45———
ControlNetSteps=50, MACs(G)=24637, Para.(M)=13972026.0137.0215.45———
AirNetMethod Category=Regression-based multi-task models, re-trained=true2024.0339.5317.86———
Null-TextMethod Category=Diffusion-based models2024.0339.9414.88———
Null-TextSteps=50, MACs(G)=374137, Para.(M)=10272026.0139.9414.88———
PromptIRMethod Category=Regression-based multi-task models, re-trained=true2024.0340.8817.8———
P2PMethod Category=Diffusion-based models2024.0342.1717.33———
PNPMethod Category=Diffusion-based models2024.0342.8216.98———
SDMethod Category=Diffusion-based models2024.0348.8924.47———
SDSteps=200, MACs(G)=79940, Para.(M)=14102026.0148.8924.47———
AdaIR2026.01——30.870.975—
AdaIRTraining=Jointly trained on all tasks2026.03——24.710.920.07
AwRaCleTraining=Jointly trained on all tasks2026.03——25.650.930.07
InstructIRTraining=Jointly trained on all tasks2026.03——29.780.970.02
NAFNetTraining=Jointly trained on all tasks2026.03——27.620.960.04
OneRestoreTraining=Jointly trained on all tasks2026.03——30.680.970.02
PromptIRTraining=Jointly trained on all tasks2026.03——26.270.950.03
RestormerTraining=Jointly trained on all tasks2026.03——26.570.950.05
UnSCARTraining=Jointly trained on all tasks2026.03——31.890.980.03