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Models/Nah et al

Nah et al

Reported on 22 benchmarks across 7 tasks · 1 paper · 22 SOTA

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

Audio8 results

10-shot image generationonGoPro
PSNR· uses extra data· 2016-12-07
29.08
best: 35.98 (BSSTNet)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
10-shot image generationonGoPro
SSIM· uses extra data· 2016-12-07
0.9135
best: 0.9792 (BSSTNet)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
10-shot image generationonRealBlur-R (trained on GoPro)
SSIM (sRGB)· 2016-12-07
0.841
best: 0.961 (ALGNet)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
10-shot image generationonHIDE (trained on GOPRO)
PSNR (sRGB)· 2016-12-07
25.73
best: 32.83 (MAXIM)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
1 Image, 2*2 StitchionGoPro
PSNR· uses extra data· 2016-12-07
29.08
best: 34.6 (AdaRevD)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
1 Image, 2*2 StitchionGoPro
SSIM· uses extra data· 2016-12-07
0.9135
best: 0.972 (AdaRevD)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
10-shot image generationonGoPro
PSNR· uses extra data· 2016-12-07
29.08
best: 35.98 (BSSTNet)
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
10-shot image generationonGoPro
SSIM· uses extra data· 2016-12-07
0.9135
best: 0.9792 (BSSTNet)
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177

Computer Vision6 results

DeblurringonGoPro
PSNR· uses extra data· 2016-12-07
29.08
best: 35.98 (BSSTNet)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
DeblurringonGoPro
SSIM· uses extra data· 2016-12-07
0.9135
best: 0.9792 (BSSTNet)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
DeblurringonRealBlur-R (trained on GoPro)
SSIM (sRGB)· 2016-12-07
0.841
best: 0.961 (ALGNet)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
DeblurringonHIDE (trained on GOPRO)
PSNR (sRGB)· 2016-12-07
25.73
best: 32.83 (MAXIM)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
Image DeblurringonGoPro
PSNR· uses extra data· 2016-12-07
29.08
best: 34.6 (AdaRevD)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
Image DeblurringonGoPro
SSIM· uses extra data· 2016-12-07
0.9135
best: 0.972 (AdaRevD)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177

Methodology6 results

2D ClassificationonGoPro
PSNR· uses extra data· 2016-12-07
29.08
best: 35.98 (BSSTNet)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
2D ClassificationonGoPro
SSIM· uses extra data· 2016-12-07
0.9135
best: 0.9792 (BSSTNet)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
2D ClassificationonRealBlur-R (trained on GoPro)
SSIM (sRGB)· 2016-12-07
0.841
best: 0.961 (ALGNet)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
2D ClassificationonHIDE (trained on GOPRO)
PSNR (sRGB)· 2016-12-07
25.73
best: 32.83 (MAXIM)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
16konGoPro
PSNR· uses extra data· 2016-12-07
29.08
best: 34.6 (AdaRevD)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
16konGoPro
SSIM· uses extra data· 2016-12-07
0.9135
best: 0.972 (AdaRevD)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177

Computer Code4 results

Blind Image DeblurringonGoPro
PSNR· uses extra data· 2016-12-07
29.08
best: 35.98 (BSSTNet)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
Blind Image DeblurringonGoPro
SSIM· uses extra data· 2016-12-07
0.9135
best: 0.9792 (BSSTNet)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
Blind Image DeblurringonRealBlur-R (trained on GoPro)
SSIM (sRGB)· 2016-12-07
0.841
best: 0.961 (ALGNet)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177
Blind Image DeblurringonHIDE (trained on GOPRO)
PSNR (sRGB)· 2016-12-07
25.73
best: 32.83 (MAXIM)
SOTA
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring arXiv:1612.02177