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ResearchFormerly WizWand

Sparse Recovery on CelebA (test)

0.0247MSEULHM
0.0240640.0283570.032650.036943Jan 13, 2026
Updated 8mo ago

Evaluation results

MethodLinks
ULHMSparsity level (rho)=0.15, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0247
ULHMSparsity level (rho)=0.12, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0262
CBAM U-NetSparsity level (rho)=0.15, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0273
ULHMSparsity level (rho)=0.10, Noise type=Gaussian, Noise level (sigma)=0.62026.010.028
Res-AttentionSparsity level (rho)=0.15, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0292
CBAM U-NetSparsity level (rho)=0.12, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0293
ResUNet-PSPSparsity level (rho)=0.15, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0297
ResUNetSparsity level (rho)=0.15, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0297
Res-AttentionSparsity level (rho)=0.12, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0301
ULHMSparsity level (rho)=0.08, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0305
ResUNet-PSPSparsity level (rho)=0.12, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0306
Res-AttentionSparsity level (rho)=0.10, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0307
CBAM U-NetSparsity level (rho)=0.10, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0307
DANetSparsity level (rho)=0.15, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0309
Dense U-NetSparsity level (rho)=0.15, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0312
Res-AttentionSparsity level (rho)=0.08, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0313
ResUNet-PSPSparsity level (rho)=0.10, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0313
ResUNetSparsity level (rho)=0.12, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0317
ResUNet-PSPSparsity level (rho)=0.08, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0319
Dense U-NetSparsity level (rho)=0.12, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0321
CBAM U-NetSparsity level (rho)=0.08, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0322
Res-AttentionSparsity level (rho)=0.05, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0325
Dense U-NetSparsity level (rho)=0.10, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0328
ResUNetSparsity level (rho)=0.10, Noise type=Gaussian, Noise level (sigma)=0.62026.010.033
DANetSparsity level (rho)=0.12, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0332
Dense U-NetSparsity level (rho)=0.08, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0334
ResUNet-PSPSparsity level (rho)=0.05, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0336
Dense U-NetSparsity level (rho)=0.05, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0342
ResUNetSparsity level (rho)=0.08, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0342
DANetSparsity level (rho)=0.10, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0348
CBAM U-NetSparsity level (rho)=0.05, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0348
ULHMSparsity level (rho)=0.05, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0353
ResUNetSparsity level (rho)=0.05, Noise type=Gaussian, Noise level (sigma)=0.62026.010.036
DANetSparsity level (rho)=0.08, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0364
DANetSparsity level (rho)=0.05, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0387
Attention U-NetSparsity level (rho)=0.15, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0388
Attention U-NetSparsity level (rho)=0.12, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0396
Attention U-NetSparsity level (rho)=0.10, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0401
Attention U-NetSparsity level (rho)=0.08, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0404
Attention U-NetSparsity level (rho)=0.05, Noise type=Gaussian, Noise level (sigma)=0.62026.010.0406