List your company
ResearchFormerly WizWand

Image Reconstruction on CytoImageNet (test)

31.42PSNRSTE–WCRR
18.6821.987525.29528.6025Aug 26, 2025
Updated 6mo ago

Evaluation results

MethodLinks
STE–WCRRNumber of patterns (M)=2048, Sampling Ratio=12.5%, Binarization Strategy=STE, Regularizer=WCRR2025.0831.420.812
STE–TDVNumber of patterns (M)=2048, Sampling Ratio=12.5%, Binarization Strategy=STE, Regularizer=TDV2025.0831.220.806
RnP–WCRRNumber of patterns (M)=2048, Sampling Ratio=12.5%, Binarization Strategy=RnP, Regularizer=WCRR2025.0830.80.793
STE–TDVNumber of patterns (M)=1024, Sampling Ratio=6.3%, Binarization Strategy=STE, Regularizer=TDV2025.0830.510.783
RnP–TDVNumber of patterns (M)=2048, Sampling Ratio=12.5%, Binarization Strategy=RnP, Regularizer=TDV2025.0830.490.783
SH–TVNumber of patterns (M)=2048, Sampling Ratio=12.5%, Pattern Design=Scrambled Hadamard (SH), Regularizer=Total Variation (TV)2025.0830.430.782
STE–WCRRNumber of patterns (M)=1024, Sampling Ratio=6.3%, Binarization Strategy=STE, Regularizer=WCRR2025.0830.410.778
Gaussian–TVNumber of patterns (M)=2048, Sampling Ratio=12.5%, Pattern Design=Fixed Gaussian, Regularizer=Total Variation (TV)2025.0830.30.778
SH–TDVNumber of patterns (M)=2048, Sampling Ratio=12.5%, Pattern Design=Scrambled Hadamard (SH), Regularizer=TDV2025.0829.720.764
Gaussian–TDVNumber of patterns (M)=2048, Sampling Ratio=12.5%, Pattern Design=Fixed Gaussian, Regularizer=TDV2025.0829.610.76
SH–WCRRNumber of patterns (M)=2048, Sampling Ratio=12.5%, Pattern Design=Scrambled Hadamard (SH), Regularizer=WCRR2025.0829.440.756
RnP–WCRRNumber of patterns (M)=1024, Sampling Ratio=6.3%, Binarization Strategy=RnP, Regularizer=WCRR2025.0829.420.748
Gaussian–WCRRNumber of patterns (M)=2048, Sampling Ratio=12.5%, Pattern Design=Fixed Gaussian, Regularizer=WCRR2025.0829.370.754
RnP–TDVNumber of patterns (M)=1024, Sampling Ratio=6.3%, Binarization Strategy=RnP, Regularizer=TDV2025.0829.20.743
STE–TDVNumber of patterns (M)=512, Sampling Ratio=3.1%, Binarization Strategy=STE, Regularizer=TDV2025.0829.10.736
STE–WCRRNumber of patterns (M)=512, Sampling Ratio=3.1%, Binarization Strategy=STE, Regularizer=WCRR2025.0829.020.732
RnP–WCRRNumber of patterns (M)=512, Sampling Ratio=3.1%, Binarization Strategy=RnP, Regularizer=WCRR2025.0828.170.706
RnP–TDVNumber of patterns (M)=512, Sampling Ratio=3.1%, Binarization Strategy=RnP, Regularizer=TDV2025.08280.701
SH–TDVNumber of patterns (M)=1024, Sampling Ratio=6.3%, Pattern Design=Scrambled Hadamard (SH), Regularizer=TDV2025.0827.970.707
Gaussian–TDVNumber of patterns (M)=1024, Sampling Ratio=6.3%, Pattern Design=Fixed Gaussian, Regularizer=TDV2025.0827.90.704
SH–WCRRNumber of patterns (M)=1024, Sampling Ratio=6.3%, Pattern Design=Scrambled Hadamard (SH), Regularizer=WCRR2025.0827.710.7
Gaussian–WCRRNumber of patterns (M)=1024, Sampling Ratio=6.3%, Pattern Design=Fixed Gaussian, Regularizer=WCRR2025.0827.640.698
SH–TVNumber of patterns (M)=1024, Sampling Ratio=6.3%, Pattern Design=Scrambled Hadamard (SH), Regularizer=Total Variation (TV)2025.0827.60.689
Gaussian–TVNumber of patterns (M)=1024, Sampling Ratio=6.3%, Pattern Design=Fixed Gaussian, Regularizer=Total Variation (TV)2025.0827.520.691
STE–TDVNumber of patterns (M)=256, Sampling Ratio=1.6%, Binarization Strategy=STE, Regularizer=TDV2025.0827.440.682
STE–WCRRNumber of patterns (M)=256, Sampling Ratio=1.6%, Binarization Strategy=STE, Regularizer=WCRR2025.0827.360.678
RnP–TDVNumber of patterns (M)=256, Sampling Ratio=1.6%, Binarization Strategy=RnP, Regularizer=TDV2025.0826.880.666
RnP–WCRRNumber of patterns (M)=256, Sampling Ratio=1.6%, Binarization Strategy=RnP, Regularizer=WCRR2025.0826.820.663
SH–TDVNumber of patterns (M)=512, Sampling Ratio=3.1%, Pattern Design=Scrambled Hadamard (SH), Regularizer=TDV2025.0826.070.647
Gaussian–TDVNumber of patterns (M)=512, Sampling Ratio=3.1%, Pattern Design=Fixed Gaussian, Regularizer=TDV2025.0826.020.643
Gaussian–WCRRNumber of patterns (M)=512, Sampling Ratio=3.1%, Pattern Design=Fixed Gaussian, Regularizer=WCRR2025.0825.770.64
SH–WCRRNumber of patterns (M)=512, Sampling Ratio=3.1%, Pattern Design=Scrambled Hadamard (SH), Regularizer=WCRR2025.0825.770.64
STE–TDVNumber of patterns (M)=128, Sampling Ratio=0.8%, Binarization Strategy=STE, Regularizer=TDV2025.0825.430.625
RnP–TDVNumber of patterns (M)=128, Sampling Ratio=0.8%, Binarization Strategy=RnP, Regularizer=TDV2025.0825.30.618
STE–WCRRNumber of patterns (M)=128, Sampling Ratio=0.8%, Binarization Strategy=STE, Regularizer=WCRR2025.0824.980.611
RnP–WCRRNumber of patterns (M)=128, Sampling Ratio=0.8%, Binarization Strategy=RnP, Regularizer=WCRR2025.0824.970.611
SH–TVNumber of patterns (M)=512, Sampling Ratio=3.1%, Pattern Design=Scrambled Hadamard (SH), Regularizer=Total Variation (TV)2025.0824.850.601
Gaussian–TVNumber of patterns (M)=512, Sampling Ratio=3.1%, Pattern Design=Fixed Gaussian, Regularizer=Total Variation (TV)2025.0824.810.606
SH–TDVNumber of patterns (M)=256, Sampling Ratio=1.6%, Pattern Design=Scrambled Hadamard (SH), Regularizer=TDV2025.0824.020.585
Gaussian–TDVNumber of patterns (M)=256, Sampling Ratio=1.6%, Pattern Design=Fixed Gaussian, Regularizer=TDV2025.0823.940.581
SH–WCRRNumber of patterns (M)=256, Sampling Ratio=1.6%, Pattern Design=Scrambled Hadamard (SH), Regularizer=WCRR2025.0823.040.565
DCANNumber of patterns (M)=512, Sampling Ratio=3.1%, Type=End-to-End Deep Learning2025.0822.730.516
DCANNumber of patterns (M)=2048, Sampling Ratio=12.5%, Type=End-to-End Deep Learning2025.0822.730.511
DCANNumber of patterns (M)=1024, Sampling Ratio=6.3%, Type=End-to-End Deep Learning2025.0822.660.516
Gaussian–WCRRNumber of patterns (M)=256, Sampling Ratio=1.6%, Pattern Design=Fixed Gaussian, Regularizer=WCRR2025.0822.590.547
DCANNumber of patterns (M)=256, Sampling Ratio=1.6%, Type=End-to-End Deep Learning2025.0822.420.509
DCANNumber of patterns (M)=128, Sampling Ratio=0.8%, Type=End-to-End Deep Learning2025.0822.40.513
SH–TVNumber of patterns (M)=256, Sampling Ratio=1.6%, Pattern Design=Scrambled Hadamard (SH), Regularizer=Total Variation (TV)2025.0822.290.523
Gaussian–TVNumber of patterns (M)=256, Sampling Ratio=1.6%, Pattern Design=Fixed Gaussian, Regularizer=Total Variation (TV)2025.0822.140.528
SH–TDVNumber of patterns (M)=128, Sampling Ratio=0.8%, Pattern Design=Scrambled Hadamard (SH), Regularizer=TDV2025.0821.610.514
Gaussian–TDVNumber of patterns (M)=128, Sampling Ratio=0.8%, Pattern Design=Fixed Gaussian, Regularizer=TDV2025.0821.090.501
SH–TVNumber of patterns (M)=128, Sampling Ratio=0.8%, Pattern Design=Scrambled Hadamard (SH), Regularizer=Total Variation (TV)2025.0819.990.457
Gaussian–TVNumber of patterns (M)=128, Sampling Ratio=0.8%, Pattern Design=Fixed Gaussian, Regularizer=Total Variation (TV)2025.0819.950.464
SH–WCRRNumber of patterns (M)=128, Sampling Ratio=0.8%, Pattern Design=Scrambled Hadamard (SH), Regularizer=WCRR2025.0819.190.461
Gaussian–WCRRNumber of patterns (M)=128, Sampling Ratio=0.8%, Pattern Design=Fixed Gaussian, Regularizer=WCRR2025.0819.170.461