task_path
stringlengths 3
199
⌀ | dataset
stringlengths 1
128
⌀ | model_name
stringlengths 1
223
⌀ | paper_url
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601
⌀ | metric_name
stringlengths 1
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⌀ | metric_value
stringlengths 1
9.22k
⌀ |
|---|---|---|---|---|---|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
BurstM
|
https://arxiv.org/abs/2409.15384v1
|
PSNR
|
49.12
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
BurstM
|
https://arxiv.org/abs/2409.15384v1
|
SSIM
|
0.987
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
SBFBurst
|
https://www.scitepress.org/PublishedPapers/2024/123483/
|
PSNR
|
48.87
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
SBFBurst
|
https://www.scitepress.org/PublishedPapers/2024/123483/
|
SSIM
|
0.987
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
SBFBurst
|
https://www.scitepress.org/PublishedPapers/2024/123483/
|
LPIPS
|
0.022
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
BSRT-Large
|
https://arxiv.org/abs/2204.08332v2
|
PSNR
|
48.57
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
BSRT-Large
|
https://arxiv.org/abs/2204.08332v2
|
SSIM
|
0.986
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
BSRT-Large
|
https://arxiv.org/abs/2204.08332v2
|
LPIPS
|
0.021
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
BIPNet
|
https://arxiv.org/abs/2110.03680v2
|
PSNR
|
48.49
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
BIPNet
|
https://arxiv.org/abs/2110.03680v2
|
SSIM
|
0.985
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
BSRT-Small
|
https://arxiv.org/abs/2204.08332v2
|
PSNR
|
48.48
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
BSRT-Small
|
https://arxiv.org/abs/2204.08332v2
|
SSIM
|
0.985
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
BSRT-Small
|
https://arxiv.org/abs/2204.08332v2
|
LPIPS
|
0.021
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
MFIR
|
https://arxiv.org/abs/2108.08286v1
|
PSNR
|
48.33
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
MFIR
|
https://arxiv.org/abs/2108.08286v1
|
SSIM
|
0.985
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
MFIR
|
https://arxiv.org/abs/2108.08286v1
|
LPIPS
|
0.023
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
KBNet
|
https://arxiv.org/abs/2112.07315v2
|
PSNR
|
48.27
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
KBNet
|
https://arxiv.org/abs/2112.07315v2
|
SSIM
|
0.9856
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
KBNet
|
https://arxiv.org/abs/2112.07315v2
|
LPIPS
|
0.0248
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
EBSR
|
https://openaccess.thecvf.com/content/CVPR2021W/NTIRE/html/Luo_EBSR_Feature_Enhanced_Burst_Super-Resolution_With_Deformable_Alignment_CVPRW_2021_paper.html
|
PSNR
|
48.23
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
EBSR
|
https://openaccess.thecvf.com/content/CVPR2021W/NTIRE/html/Luo_EBSR_Feature_Enhanced_Burst_Super-Resolution_With_Deformable_Alignment_CVPRW_2021_paper.html
|
SSIM
|
0.985
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
EBSR
|
https://openaccess.thecvf.com/content/CVPR2021W/NTIRE/html/Luo_EBSR_Feature_Enhanced_Burst_Super-Resolution_With_Deformable_Alignment_CVPRW_2021_paper.html
|
LPIPS
|
0.024
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
DBSR
|
https://arxiv.org/abs/2101.10997v2
|
PSNR
|
47.70
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
DBSR
|
https://arxiv.org/abs/2101.10997v2
|
SSIM
|
0.984
|
16k > Image Super-Resolution > Burst Image Super-Resolution
|
BurstSR
|
DBSR
|
https://arxiv.org/abs/2101.10997v2
|
LPIPS
|
0.029
|
16k > Image Super-Resolution > Multispectral Image Super-resolution
|
Sen2venus - 2x upscaling
|
Swin2SR-MoSE
|
https://arxiv.org/abs/2404.18924v2
|
SSIM
|
0.9948
|
16k > Image Super-Resolution > Multispectral Image Super-resolution
|
Sen2venus - 2x upscaling
|
Swin2SR-MoSE
|
https://arxiv.org/abs/2404.18924v2
|
PSNR
|
49.4784
|
16k > Image Super-Resolution > Multispectral Image Super-resolution
|
Sen2venus - 2x upscaling
|
SRResNet
| null |
SSIM
|
0.96
|
16k > Image Super-Resolution > Multispectral Image Super-resolution
|
Sen2venus - 2x upscaling
|
SRResNet
| null |
PSNR
|
38.45
|
16k > Image Super-Resolution > Multispectral Image Super-resolution
|
Sen2venus - 4x upscaling
|
Swin2SR-MoSE
|
https://arxiv.org/abs/2404.18924v2
|
SSIM
|
0.9849
|
16k > Image Super-Resolution > Multispectral Image Super-resolution
|
Sen2venus - 4x upscaling
|
Swin2SR-MoSE
|
https://arxiv.org/abs/2404.18924v2
|
PSNR
|
45.9272
|
16k > Image Super-Resolution > Multispectral Image Super-resolution
|
OLI2MSI - 3x upscaling
|
Swin2SR-MoSE
|
https://arxiv.org/abs/2404.18924v2
|
SSIM
|
0.9912
|
16k > Image Super-Resolution > Multispectral Image Super-resolution
|
OLI2MSI - 3x upscaling
|
Swin2SR-MoSE
|
https://arxiv.org/abs/2404.18924v2
|
PSNR
|
45.9194
|
16k > Image Deblurring
|
RealBlur-J
|
EVSSM
|
https://arxiv.org/abs/2405.14343v1
|
PSNR
|
34.15
|
16k > Image Deblurring
|
RealBlur-J
|
EVSSM
|
https://arxiv.org/abs/2405.14343v1
|
SSIM
|
0.945
|
16k > Image Deblurring
|
RealBlur-R(trained on GoPro)
|
SDWNet
|
https://arxiv.org/abs/2110.05803v1
|
PSNR
|
35.85
|
16k > Image Deblurring
|
RealBlur-R
|
EVSSM
|
https://arxiv.org/abs/2405.14343v1
|
PSNR
|
41.04
|
16k > Image Deblurring
|
RealBlur-R
|
EVSSM
|
https://arxiv.org/abs/2405.14343v1
|
SSIM
|
0.977
|
16k > Image Deblurring
|
ImageNet
|
DDNM
|
https://arxiv.org/abs/2212.00490v2
|
PSNR
|
44.93
|
16k > Image Deblurring
|
ImageNet
|
DDNM
|
https://arxiv.org/abs/2212.00490v2
|
SSIM
|
0.994
|
16k > Image Deblurring
|
ImageNet
|
DDNM
|
https://arxiv.org/abs/2212.00490v2
|
FID
|
1.15
|
16k > Image Deblurring
|
ImageNet
|
DDRM
|
https://arxiv.org/abs/2212.00490v2
|
PSNR
|
43.01
|
16k > Image Deblurring
|
ImageNet
|
DDRM
|
https://arxiv.org/abs/2212.00490v2
|
SSIM
|
0.992
|
16k > Image Deblurring
|
ImageNet
|
DDRM
|
https://arxiv.org/abs/2212.00490v2
|
FID
|
1.48
|
16k > Image Deblurring
|
ImageNet
|
A+y
|
https://arxiv.org/abs/2212.00490v2
|
PSNR
|
18.56
|
16k > Image Deblurring
|
ImageNet
|
A+y
|
https://arxiv.org/abs/2212.00490v2
|
SSIM
|
0.6616
|
16k > Image Deblurring
|
ImageNet
|
A+y
|
https://arxiv.org/abs/2212.00490v2
|
FID
|
55.42
|
16k > Image Deblurring
|
Real-world Dataset
|
EVSSM
|
https://arxiv.org/abs/2405.14343v1
|
PSNR
|
48.78
|
16k > Image Deblurring
|
Real-world Dataset
|
EVSSM
|
https://arxiv.org/abs/2405.14343v1
|
SSIM
|
0.9951
|
16k > Image Deblurring
|
CelebA
|
DDNM
|
https://arxiv.org/abs/2212.00490v2
|
PSNR
|
46.72
|
16k > Image Deblurring
|
CelebA
|
DDNM
|
https://arxiv.org/abs/2212.00490v2
|
SSIM
|
0.996
|
16k > Image Deblurring
|
CelebA
|
DDNM
|
https://arxiv.org/abs/2212.00490v2
|
FID
|
1.41
|
16k > Image Deblurring
|
CelebA
|
DDRM
|
https://arxiv.org/abs/2212.00490v2
|
PSNR
|
43.07
|
16k > Image Deblurring
|
CelebA
|
DDRM
|
https://arxiv.org/abs/2212.00490v2
|
SSIM
|
0.993
|
16k > Image Deblurring
|
CelebA
|
DDRM
|
https://arxiv.org/abs/2212.00490v2
|
FID
|
6.24
|
16k > Image Deblurring
|
CelebA
|
A+y
|
https://arxiv.org/abs/2212.00490v2
|
PSNR
|
18.85
|
16k > Image Deblurring
|
CelebA
|
A+y
|
https://arxiv.org/abs/2212.00490v2
|
SSIM
|
0.741
|
16k > Image Deblurring
|
CelebA
|
A+y
|
https://arxiv.org/abs/2212.00490v2
|
FID
|
54.31
|
16k > Image Deblurring
|
HIDE
|
AdaRevD
|
https://arxiv.org/abs/2406.09135v1
|
SSIM
|
0.953
|
16k > Image Deblurring
|
HIDE
|
AdaRevD
|
https://arxiv.org/abs/2406.09135v1
|
PSNR
|
32.35
|
16k > Image Deblurring
|
HIDE
|
EVSSM
|
https://arxiv.org/abs/2405.14343v1
|
SSIM
|
0.9501
|
16k > Image Deblurring
|
HIDE
|
EVSSM
|
https://arxiv.org/abs/2405.14343v1
|
PSNR
|
31.97
|
16k > Image Deblurring
|
HIDE
|
ALGNet-B
|
https://arxiv.org/abs/2403.20106v2
|
PSNR
|
31.68
|
16k > Image Deblurring
|
HIDE
|
M3SNet
|
https://arxiv.org/abs/2305.05146v1
|
PSNR
|
31.49
|
16k > Image Deblurring
|
HIDE
|
MAXIM-3S
|
https://arxiv.org/abs/2201.02973v2
|
SSIM
|
0.956
|
16k > Image Deblurring
|
HIDE (trained on GOPRO)
|
Hi-IR-L
|
https://arxiv.org/abs/2411.18588v1
|
PSNR
|
31.64
|
16k > Image Deblurring
|
HIDE (trained on GOPRO)
|
M3SNet
|
https://arxiv.org/abs/2305.05146v1
|
PSNR
|
31.49
|
16k > Image Deblurring
|
HIDE (trained on GOPRO)
|
M3SNet
|
https://arxiv.org/abs/2305.05146v1
|
SSIM
|
0.951
|
16k > Image Deblurring
|
HIDE (trained on GOPRO)
|
MHNet
|
https://arxiv.org/abs/2302.09554v4
|
PSNR
|
30.71
|
16k > Image Deblurring
|
GoPro
|
AdaRevD
|
https://arxiv.org/abs/2406.09135v1
|
PSNR
|
34.6
|
16k > Image Deblurring
|
GoPro
|
AdaRevD
|
https://arxiv.org/abs/2406.09135v1
|
SSIM
|
0.972
|
16k > Image Deblurring
|
GoPro
|
EVSSM
|
https://arxiv.org/abs/2405.14343v1
|
PSNR
|
34.5
|
16k > Image Deblurring
|
GoPro
|
EVSSM
|
https://arxiv.org/abs/2405.14343v1
|
SSIM
|
0.9712
|
16k > Image Deblurring
|
GoPro
|
MDT
|
http://openaccess.thecvf.com//content/CVPR2025/html/Chen_A_Polarization-Aided_Transformer_for_Image_Deblurring_via_Motion_Vector_Decomposition_CVPR_2025_paper.html
|
PSNR
|
34.26
|
16k > Image Deblurring
|
GoPro
|
fftformer
|
https://arxiv.org/abs/2211.12250v1
|
PSNR
|
34.21
|
16k > Image Deblurring
|
GoPro
|
fftformer
|
https://arxiv.org/abs/2211.12250v1
|
SSIM
|
0.969
|
16k > Image Deblurring
|
GoPro
|
fftformer
|
https://arxiv.org/abs/2211.12250v1
|
Params (M)
|
16.6
|
16k > Image Deblurring
|
GoPro
|
LoFormer
|
https://arxiv.org/abs/2407.16993v1
|
PSNR
|
34.09
|
16k > Image Deblurring
|
GoPro
|
LoFormer
|
https://arxiv.org/abs/2407.16993v1
|
SSIM
|
0.969
|
16k > Image Deblurring
|
GoPro
|
UFPDeblur
|
http://openaccess.thecvf.com//content/CVPR2023/html/Fang_Self-Supervised_Non-Uniform_Kernel_Estimation_With_Flow-Based_Motion_Prior_for_Blind_CVPR_2023_paper.html
|
PSNR
|
34.06
|
16k > Image Deblurring
|
GoPro
|
UFPDeblur
|
http://openaccess.thecvf.com//content/CVPR2023/html/Fang_Self-Supervised_Non-Uniform_Kernel_Estimation_With_Flow-Based_Motion_Prior_for_Blind_CVPR_2023_paper.html
|
SSIM
|
0.968
|
16k > Image Deblurring
|
GoPro
|
UFPDeblur
|
http://openaccess.thecvf.com//content/CVPR2023/html/Fang_Self-Supervised_Non-Uniform_Kernel_Estimation_With_Flow-Based_Motion_Prior_for_Blind_CVPR_2023_paper.html
|
Params (M)
|
80.3
|
16k > Image Deblurring
|
GoPro
|
ALGNet-B
|
https://arxiv.org/abs/2403.20106v2
|
PSNR
|
34.05
|
16k > Image Deblurring
|
GoPro
|
ALGNet-B
|
https://arxiv.org/abs/2403.20106v2
|
SSIM
|
0.969
|
16k > Image Deblurring
|
GoPro
|
MR-VNet
|
http://openaccess.thecvf.com//content/CVPR2024/html/Roheda_MR-VNet_Media_Restoration_using_Volterra_Networks_CVPR_2024_paper.html
|
PSNR
|
34.04
|
16k > Image Deblurring
|
GoPro
|
MR-VNet
|
http://openaccess.thecvf.com//content/CVPR2024/html/Roheda_MR-VNet_Media_Restoration_using_Volterra_Networks_CVPR_2024_paper.html
|
SSIM
|
0.969
|
16k > Image Deblurring
|
GoPro
|
MR-VNet
|
http://openaccess.thecvf.com//content/CVPR2024/html/Roheda_MR-VNet_Media_Restoration_using_Volterra_Networks_CVPR_2024_paper.html
|
Params (M)
|
12.3
|
16k > Image Deblurring
|
GoPro
|
Hi-IR-L
|
https://arxiv.org/abs/2411.18588v1
|
PSNR
|
33.99
|
16k > Image Deblurring
|
GoPro
|
GRL
|
https://arxiv.org/abs/2303.00748v2
|
PSNR
|
33.93
|
16k > Image Deblurring
|
GoPro
|
GRL
|
https://arxiv.org/abs/2303.00748v2
|
SSIM
|
0.968
|
16k > Image Deblurring
|
GoPro
|
GRL
|
https://arxiv.org/abs/2303.00748v2
|
Params (M)
|
19.81
|
16k > Image Deblurring
|
GoPro
|
Instruct-IPT
|
https://arxiv.org/abs/2407.00676v2
|
PSNR
|
33.86
|
16k > Image Deblurring
|
GoPro
|
Instruct-IPT
|
https://arxiv.org/abs/2407.00676v2
|
SSIM
|
0.967
|
16k > Image Deblurring
|
GoPro
|
MADANet
|
https://openaccess.thecvf.com/content/CVPR2022W/NTIRE/html/Yang_Motion_Aware_Double_Attention_Network_for_Dynamic_Scene_Deblurring_CVPRW_2022_paper.html
|
PSNR
|
33.84
|
16k > Image Deblurring
|
GoPro
|
MADANet
|
https://openaccess.thecvf.com/content/CVPR2022W/NTIRE/html/Yang_Motion_Aware_Double_Attention_Network_for_Dynamic_Scene_Deblurring_CVPRW_2022_paper.html
|
SSIM
|
0.964
|
16k > Image Deblurring
|
GoPro
|
MADANet
|
https://openaccess.thecvf.com/content/CVPR2022W/NTIRE/html/Yang_Motion_Aware_Double_Attention_Network_for_Dynamic_Scene_Deblurring_CVPRW_2022_paper.html
|
Params (M)
|
16.9
|
16k > Image Deblurring
|
GoPro
|
CGNet
|
https://arxiv.org/abs/2401.15235v2
|
PSNR
|
33.77
|
16k > Image Deblurring
|
GoPro
|
CGNet
|
https://arxiv.org/abs/2401.15235v2
|
SSIM
|
0.968
|
16k > Image Deblurring
|
GoPro
|
NAFNet-MH-C
|
https://arxiv.org/abs/2208.13029v1
|
PSNR
|
33.75
|
16k > Image Deblurring
|
GoPro
|
NAFNet-MH-C
|
https://arxiv.org/abs/2208.13029v1
|
SSIM
|
0.967
|
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