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Low-Light Image Enhancement on LSRW HUAWEI (test)

84SSIMAIGS-Net
36.139248.564660.9973.4154Mar 17, 2026Apr 1, 2026Apr 16, 2026May 1, 2026May 16, 2026May 31, 2026Jun 16, 2026

Evaluation results

MethodLinks
AIGS-NetParams (K)=0.44, FLOPs (G)=0.04132026.068421.60.29.732.6734.03————3.12
GLFSParams (K)=7804, FLOPs (G)=66.822026.068319.760.317.762.4229.41————3.06
FMR-NETParams (K)=196.8, FLOPs (G)=102.82026.068019.790.3129.432.693.51————4.39
PairLIEParams (K)=34.18, FLOPs (G)=22.352026.067717.240.2715.062.075.32————3.49
ChebyLighterParams (K)=73, FLOPs (G)=17.252026.067620.30.2810.632.514.46————3.17
NoiSERParams (K)=1.763, FLOPs (G)=8.622026.067616.080.4649.042.292.09————4.38
FRR-NETParams (K)=12.21, FLOPs (G)=0.2162026.067420.310.313.762.435.25————4.3
EnlightenGANParams (K)=8636, FLOPs (G)=61.012026.067318.70.2744.541.792.21————3.41
UTV-NETParams (K)=7745, FLOPs (G)=58.292026.067318.750.2518.182.536.16————3.07
URetinex-NETParams (K)=838.3, FLOPs (G)=136.012026.067320.270.318.042.75.23————3.15
DST-Nettraining_dataset=LOL, cross_dataset_generalization=true2026.0370.720.84860.309319.55742.2162.6002—————
FmrNettraining_dataset=LOL, cross_dataset_generalization=true2026.0368.8720.35730.339613.65432.27362.5441—————
FMR-NETParams (K)=196.8, FLOPs (G)=102.82026.066818.850.4340.332.414.35————3.34
HVI-CIDNettraining_dataset=LOL, cross_dataset_generalization=true2026.0367.8420.05790.367323.67962.06223.0621—————
URetinex_Nettraining_dataset=LOL, cross_dataset_generalization=true2026.0367.3120.55220.278919.02112.16143.6529—————
EFI-NETParams (K)=129.2, FLOPs (G)=9.382026.066713.970.2619.681.836.87————3.75
ChebyLightertraining_dataset=LOL, cross_dataset_generalization=true2026.0366.2719.67460.296317.04082.13123.1945—————
PairLIEtraining_dataset=LOL, cross_dataset_generalization=true2026.0366.0119.08960.33137.40231.87162.9873—————
PairLIEParams (K)=34.18, FLOPs (G)=22.352026.066617.220.4354.292.115.27————3.03
ZeroDCE++Params (K)=10.6, FLOPs (G)=0.332026.066615.860.258.852.2832.98————3.47
UTVNettraining_dataset=LOL, cross_dataset_generalization=true2026.0365.8518.27770.241219.25752.28064.1818—————
FRRNETtraining_dataset=LOL, cross_dataset_generalization=true2026.0365.6819.90040.392923.91821.98242.6512—————
ZeroDCEParams (K)=79.4, FLOPs (G)=5.212026.066515.590.2215.542.2332.62————3.48
ZeroIGParams (K)=123.63, FLOPs (G)=118.732026.066518.290.234.982.7234.7————3.82
NoiSERParams (K)=1.763, FLOPs (G)=8.622026.066416.290.6370.141.651.99————3.48
NoiSERtraining_dataset=LOL, cross_dataset_generalization=true2026.0363.1317.43890.512233.35482.0891.6669—————
EnlightenGANtraining_dataset=LOL, cross_dataset_generalization=true2026.0363.0918.28360.33351.41191.56571.9064—————
EnlightenGANParams (K)=8636, FLOPs (G)=61.012026.066317.330.469.431.653.08————2.61
FRR-NETParams (K)=12.21, FLOPs (G)=0.2162026.066317.890.4224.282.335.82————3.35
UTV-NETParams (K)=7745, FLOPs (G)=58.292026.066316.80.3429.712.288.13————2.43
ChebyLighterParams (K)=73, FLOPs (G)=17.252026.066316.010.4261.542.46.34————2.25
URetinex-NETParams (K)=838.3, FLOPs (G)=136.012026.066317.980.3926.372.487.24————2.26
LoLiIEAtraining_dataset=LOL, cross_dataset_generalization=true2026.0360.2816.82110.376619.28281.86186.6287—————
EFI-NETParams (K)=129.2, FLOPs (G)=9.382026.065914.270.431.491.768.01————2.76
SCIParams (K)=0.3, FLOPs (G)=0.06192026.065913.80.255.212.0734.14————3.43
ZeroDCE++Params (K)=10.6, FLOPs (G)=0.332026.065715.170.3325.082.1730.23————2.59
ZeroDCEParams (K)=79.4, FLOPs (G)=5.212026.065614.660.3732.682.0930.5————2.6
EFINettraining_dataset=LOL, cross_dataset_generalization=true2026.0355.913.98950.368916.43481.64854.6768—————
ZeroDcePtraining_dataset=LOL, cross_dataset_generalization=true2026.0355.8615.73940.389219.12521.76517.0958—————
ZeroDCEtraining_dataset=LOL, cross_dataset_generalization=true2026.0355.415.57350.352616.31371.610217.0669—————
ZeroIGParams (K)=123.63, FLOPs (G)=118.732026.065515.490.3812.052.3731.95————3.22
LIME2026.065414.720.36155.172.3439.14————4.44
SCIParams (K)=0.3, FLOPs (G)=0.06192026.065315.820.399.641.9232.32————2.77
ZeroIGtraining_dataset=LOL, cross_dataset_generalization=true2026.0351.5917.7150.40466.90082.08817.7718—————
SCItraining_dataset=LOL, cross_dataset_generalization=true2026.0349.0614.11920.38863.41741.349717.5129—————
LIME2026.064914.260.47145.582.2935.58————3.86
RUASParams (K)=1.4, FLOPs (G)=0.28132026.064911.370.350.371.4235.28————3.75
RUASParams (K)=1.4, FLOPs (G)=0.28132026.064712.450.471.851.2833.61————3.1
LIMEtraining_dataset=LOL, cross_dataset_generalization=true2026.0340.0214.18420.5017109.02931.813520.5171—————
RUAStraining_dataset=LOL, cross_dataset_generalization=true2026.0337.9811.48690.45680.01230.921717.1161—————
CLIP-LITLearning Paradigm=Unsupervised2026.05——————13.5642.419.1539.8—
CLODELearning Paradigm=Unsupervised2026.05——————18.4456.420.4857.9—
CoLIELearning Paradigm=Unsupervised2026.05——————14.764219.344.4—
EnlightenGANLearning Paradigm=Unsupervised, Method Paradigm=Unpaired GANs2026.05——————18.9552.920.6452.4—
GDPLearning Paradigm=Unsupervised2026.05——————13.8140.317.6148.1—
Internally Referenced Low-Light Enhancement (Ours)Learning Paradigm=Unsupervised, Method Paradigm=Internally Referenced2026.05——————19.4360.121.5761.3—
PairLIELearning Paradigm=Unsupervised2026.05——————18.9856.220.7456.4—
PSENetLearning Paradigm=Unsupervised2026.05——————18.247.419.6947.2—
RetinexDIPLearning Paradigm=Unsupervised2026.05——————12.9740.319.0743.5—
RRDNetLearning Paradigm=Unsupervised2026.05——————13.3839.418.4842.2—
RUASLearning Paradigm=Unsupervised, Method Paradigm=Retinex-based learning2026.05——————15.715017.654.4—
SCILearning Paradigm=Unsupervised, Method Paradigm=Curve estimation2026.05——————15.743.918.2845.4—
Zero-DCELearning Paradigm=Unsupervised, Method Paradigm=Curve estimation2026.05——————16.447.519.9846.5—