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Hyperspectral Image Reconstruction on KAIST 10 simulation scenes (test)

40.39PSNRBlock-9
22.429227.092131.75536.4179Mar 9, 2022Nov 4, 2022Jul 3, 2023Feb 29, 2024Oct 27, 2024Jun 25, 2025Feb 21, 2026

Evaluation results

MethodLinks
Block-9Category=DUN, Learning Paradigm=Supervised, Reference=Ours, Params.=5.18M2026.0240.390.98
LoRun-9Category=DUN, Learning Paradigm=Supervised, Reference=Ours, Params.=1.62M, gamma=102026.0240.270.98
RCUMPCategory=DUN, Learning Paradigm=Supervised, Reference=TIP’24, Params.=9.03M2026.0238.970.97
DAUHSTCategory=DUN, Learning Paradigm=Supervised, Reference=NeurIPS’22, Params.=6.15M2026.0238.360.97
PSRSCICategory=Diffusion, Learning Paradigm=Supervised, Reference=ICLR’25, Params.=1312M2026.0238.140.97
BIRNATCategory=RNN, Reference=TPAMI’23, Params.=4.40M2026.0237.580.96
DWMTCategory=Transformer, Learning Paradigm=Supervised, Reference=AAAI’24, Params.=15.47M2026.0236.830.96
CST-LParams=3.00M, GFLOPS=40.1, Sparsity ratio=02022.0336.120.957
CST-LParams=3.00M, GFLOPS=27.812022.0335.850.954
CST-MParams=1.36M, GFLOPS=16.912022.0335.310.947
MST-LParams=2.03M, GFLOPS=28.152022.0335.180.948
HDNetParams=2.37M, GFLOPS=154.762022.0334.970.937
MST-MParams=1.50M, GFLOPS=18.072022.0334.940.943
CST-SParams=1.20M, GFLOPS=11.672022.0334.710.94
MST-SParams=0.93M, GFLOPS=12.962022.0334.260.935
GAP-NetCategory=DUN, Learning Paradigm=Supervised, Reference=IJCV’23, Params.=4.27M2026.0233.030.92
DGSMPParams=3.76M, GFLOPS=646.652022.0332.630.925
TSA-NetParams=44.25M, GFLOPS=110.062022.0331.460.894
TSA-NetCategory=CNN, Learning Paradigm=Supervised, Reference=ECCV’20, Params.=44.25M2026.0231.360.89
DIP-HSIParams=33.85M, GFLOPS=64.422022.0331.260.894
DNUParams=1.19M, GFLOPS=163.482022.0330.740.863
HSSP2022.0330.350.852
DIP-HSICategory=PnP, Learning Paradigm=Zero-Shot, Reference=ICCV’21, Params.=33.85M2026.0229.750.8
PnP-CASSICategory=PnP, Learning Paradigm=Zero-Shot, Reference=PR’21, Params.=33.85M2026.0228.550.77
λ-NetCategory=CNN, Learning Paradigm=Supervised, Reference=ICCV’19, Params.=62.64M2026.0228.540.84
λ-netParams=62.64M, GFLOPS=117.982022.0328.530.841
DeSCI2022.0325.120.718
DeSCICategory=Iterative, Learning Paradigm=Traditional, Reference=TPAMI’192026.0224.820.73
GAP-TV2022.0324.360.721
TwIST2022.0323.120.669