task_path stringlengths 3 199 ⌀ | dataset stringlengths 1 128 ⌀ | model_name stringlengths 1 223 ⌀ | paper_url stringlengths 21 601 ⌀ | metric_name stringlengths 1 50 ⌀ | 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 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.