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Models/LaKDNet

LaKDNet

Reported on 20 benchmarks across 4 tasks · 1 paper

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

Computer Vision5 results

DeblurringonRealBlur-R (trained on GoPro)
PSNR (sRGB)· 2023-02-04
36.08
best: 36.53 (AdaRevD)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234
DeblurringonRealBlur-R (trained on GoPro)
SSIM (sRGB)· 2023-02-04
0.955
best: 0.961 (ALGNet)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234
DeblurringonHIDE (trained on GOPRO)
PSNR (sRGB)· 2023-02-04
31.58
best: 32.83 (MAXIM)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234
DeblurringonHIDE (trained on GOPRO)
Params (M)· 2023-02-04
37.5
best: 50.88 (Uformer-B)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234
DeblurringonHIDE (trained on GOPRO)
SSIM (sRGB)· 2023-02-04
0.946
best: 0.956 (MAXIM)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234

Methodology5 results

2D ClassificationonRealBlur-R (trained on GoPro)
PSNR (sRGB)· 2023-02-04
36.08
best: 36.53 (AdaRevD)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234
2D ClassificationonRealBlur-R (trained on GoPro)
SSIM (sRGB)· 2023-02-04
0.955
best: 0.961 (ALGNet)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234
2D ClassificationonHIDE (trained on GOPRO)
PSNR (sRGB)· 2023-02-04
31.58
best: 32.83 (MAXIM)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234
2D ClassificationonHIDE (trained on GOPRO)
Params (M)· 2023-02-04
37.5
best: 50.88 (Uformer-B)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234
2D ClassificationonHIDE (trained on GOPRO)
SSIM (sRGB)· 2023-02-04
0.946
best: 0.956 (MAXIM)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234

Audio5 results

10-shot image generationonRealBlur-R (trained on GoPro)
PSNR (sRGB)· 2023-02-04
36.08
best: 36.53 (AdaRevD)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234
10-shot image generationonRealBlur-R (trained on GoPro)
SSIM (sRGB)· 2023-02-04
0.955
best: 0.961 (ALGNet)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234
10-shot image generationonHIDE (trained on GOPRO)
PSNR (sRGB)· 2023-02-04
31.58
best: 32.83 (MAXIM)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234
10-shot image generationonHIDE (trained on GOPRO)
Params (M)· 2023-02-04
37.5
best: 50.88 (Uformer-B)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234
10-shot image generationonHIDE (trained on GOPRO)
SSIM (sRGB)· 2023-02-04
0.946
best: 0.956 (MAXIM)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234

Computer Code5 results

Blind Image DeblurringonRealBlur-R (trained on GoPro)
PSNR (sRGB)· 2023-02-04
36.08
best: 36.53 (AdaRevD)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234
Blind Image DeblurringonRealBlur-R (trained on GoPro)
SSIM (sRGB)· 2023-02-04
0.955
best: 0.961 (ALGNet)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234
Blind Image DeblurringonHIDE (trained on GOPRO)
PSNR (sRGB)· 2023-02-04
31.58
best: 32.83 (MAXIM)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234
Blind Image DeblurringonHIDE (trained on GOPRO)
Params (M)· 2023-02-04
37.5
best: 50.88 (Uformer-B)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234
Blind Image DeblurringonHIDE (trained on GOPRO)
SSIM (sRGB)· 2023-02-04
0.946
best: 0.956 (MAXIM)
Revisiting Image Deblurring with an Efficient ConvNet arXiv:2302.02234