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Models/MAXIM (REDS)

MAXIM (REDS)

Reported on 24 benchmarks across 4 tasks · 1 paper · 8 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

DeblurringonMSU BASED
LPIPS· 2022-01-09
0.07836
SOTA
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
DeblurringonMSU BASED
SSIM· 2022-01-09
0.94959
best: 0.95035 (NAFNet (REDS))
SOTA
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
DeblurringonBASED
PSNR· 2022-01-09
30.65728
best: 31.42945 (VRT (GoPro))
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
DeblurringonMSU BASED
ERQAv2.0· 2022-01-09
0.74277
best: 0.75056 (VRT (REDS))
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
DeblurringonMSU BASED
Subjective· 2022-01-09
1.0081
best: 2.8405 (NAFNet (REDS))
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
DeblurringonMSU BASED
VMAF· 2022-01-09
67.3502
best: 67.7557 (MAXIM (GoPro))
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973

Methodology6 results

2D ClassificationonMSU BASED
LPIPS· 2022-01-09
0.07836
SOTA
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
2D ClassificationonMSU BASED
SSIM· 2022-01-09
0.94959
best: 0.95035 (NAFNet (REDS))
SOTA
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
2D ClassificationonBASED
PSNR· 2022-01-09
30.65728
best: 31.42945 (VRT (GoPro))
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
2D ClassificationonMSU BASED
ERQAv2.0· 2022-01-09
0.74277
best: 0.75056 (VRT (REDS))
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
2D ClassificationonMSU BASED
Subjective· 2022-01-09
1.0081
best: 2.8405 (NAFNet (REDS))
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
2D ClassificationonMSU BASED
VMAF· 2022-01-09
67.3502
best: 67.7557 (MAXIM (GoPro))
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973

Audio6 results

10-shot image generationonMSU BASED
LPIPS· 2022-01-09
0.07836
SOTA
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
10-shot image generationonMSU BASED
SSIM· 2022-01-09
0.94959
best: 0.95035 (NAFNet (REDS))
SOTA
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
10-shot image generationonBASED
PSNR· 2022-01-09
30.65728
best: 31.42945 (VRT (GoPro))
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
10-shot image generationonMSU BASED
ERQAv2.0· 2022-01-09
0.74277
best: 0.75056 (VRT (REDS))
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
10-shot image generationonMSU BASED
Subjective· 2022-01-09
1.0081
best: 2.8405 (NAFNet (REDS))
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
10-shot image generationonMSU BASED
VMAF· 2022-01-09
67.3502
best: 67.7557 (MAXIM (GoPro))
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973

Computer Code6 results

Blind Image DeblurringonMSU BASED
LPIPS· 2022-01-09
0.07836
SOTA
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
Blind Image DeblurringonMSU BASED
SSIM· 2022-01-09
0.94959
best: 0.95035 (NAFNet (REDS))
SOTA
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
Blind Image DeblurringonBASED
PSNR· 2022-01-09
30.65728
best: 31.42945 (VRT (GoPro))
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
Blind Image DeblurringonMSU BASED
ERQAv2.0· 2022-01-09
0.74277
best: 0.75056 (VRT (REDS))
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
Blind Image DeblurringonMSU BASED
Subjective· 2022-01-09
1.0081
best: 2.8405 (NAFNet (REDS))
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973
Blind Image DeblurringonMSU BASED
VMAF· 2022-01-09
67.3502
best: 67.7557 (MAXIM (GoPro))
MAXIM: Multi-Axis MLP for Image Processing arXiv:2201.02973