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Denoising on SSID (test)

50PSNRModular Neural ISP
36.032839.658943.28546.9111Jun 11, 2024Sep 10, 2024Dec 10, 2024Mar 11, 2025Jun 10, 2025Sep 9, 2025Dec 9, 2025

Evaluation results

MethodLinks
Modular Neural ISPTraining Data=Generic (Wide range of noise profiles), Model Variant=base2025.125097.8
Modular Neural ISPTraining Data=Generic (Wide range of noise profiles), Model Variant=large2025.1249.5597.9
Modular Neural ISPTraining Data=Generic (Wide range of noise profiles), Model Variant=lite2025.1249.0997.1
Modular Neural ISPTraining Data=MIT Adobe 5K [26], Model Variant=base2025.1248.2896.7
Modular Neural ISPTraining Data=MIT Adobe 5K [26], Model Variant=large2025.1248.1297.1
Modular Neural ISPTraining Data=MIT Adobe 5K [26], Model Variant=lite2025.1248.0596.6
Modular Neural ISPTraining Data=S24 [16], Model Variant=large2025.1247.4795.6
Modular Neural ISPTraining Data=S24 [16], Model Variant=base2025.1247.2895.2
Modular Neural ISPTraining Data=S24 [16], Model Variant=lite2025.1246.5394
RestormerArchitecture=Restormer2024.0640.0297.06
NAFNetArchitecture=NAFNet2024.0639.9795.99
Restormer + FPArchitecture=Restormer, Pooling=FrequencyPreservedPooling2024.0639.8897.01
Restormer + FP + DropHighArchitecture=Restormer, Pooling=FrequencyPreservedPooling, DropHigh=true2024.0639.8897.91
Restormer + FP + FirstLayerDropArchitecture=Restormer, Pooling=FrequencyPreservedPooling, FirstLayerDrop=true2024.0639.8897.01
Restormer + FreqAvgUpArchitecture=Restormer, Upsampling=FreqAvgUp2024.0639.8697.01
Restormer + FP + FirstLayerDrop + FreqAvgUpArchitecture=Restormer, Pooling=FrequencyPreservedPooling, FirstLayerDrop=true, Upsampling=FreqAvgUp2024.0639.8697.01
Restormer + FP + DropHigh + FreqAvgUp (BoA)Architecture=Restormer, Pooling=FrequencyPreservedPooling, DropHigh=true, Upsampling=FreqAvgUp, Protocol=BoA2024.0639.8597
Restormer + FP + FreqAvgUp (BoA)Architecture=Restormer, Pooling=FrequencyPreservedPooling, Upsampling=FreqAvgUp, Protocol=BoA2024.0639.8597.01
NAFNet + FreqAvgUpArchitecture=NAFNet, Upsampling=FreqAvgUp2024.0639.7595.85
NAFNet + FPArchitecture=NAFNet, Pooling=FrequencyPreservedPooling2024.0639.7395.84
NAFNet + FP + FirstLayerDrop + FreqAvgUpArchitecture=NAFNet, Pooling=FrequencyPreservedPooling, FirstLayerDrop=true, Upsampling=FreqAvgUp2024.0639.7295.82
NAFNet + FP + FirstLayerDropArchitecture=NAFNet, Pooling=FrequencyPreservedPooling, FirstLayerDrop=true2024.0639.7195.83
NAFNet + FP + FreqAvgUp (BoA)Architecture=NAFNet, Pooling=FrequencyPreservedPooling, Upsampling=FreqAvgUp, Protocol=BoA2024.0639.6495.77
NAFNet + FP + DropHigh + FreqAvgUpArchitecture=NAFNet, Pooling=FrequencyPreservedPooling, DropHigh=true, Upsampling=FreqAvgUp2024.0639.5495.77
NAFNet + FP + DropHighArchitecture=NAFNet, Pooling=FrequencyPreservedPooling, DropHigh=true2024.0636.5795.74