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 ⌀ |
|---|---|---|---|---|---|
Image Enhancement > Low-Light Image Enhancement | NPE | Zero-DCE | https://arxiv.org/abs/2001.06826v2 | BRISQUE | 20.72 |
Image Enhancement > Low-Light Image Enhancement | NPE | Retinexformer | https://arxiv.org/abs/2303.06705v3 | User Study Score | 4.17 |
Image Enhancement > Low-Light Image Enhancement | SMID | Retinexformer | https://arxiv.org/abs/2303.06705v3 | PSNR | 29.15 |
Image Enhancement > Low-Light Image Enhancement | Canon RAW Low Light | FSDA-LL | https://arxiv.org/abs/2303.15528v1 | PSNR | 33.22 |
Image Enhancement > Low-Light Image Enhancement | Canon RAW Low Light | FSDA-LL | https://arxiv.org/abs/2303.15528v1 | SSIM | 0.896 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | DPEC_ | https://arxiv.org/abs/2407.09553v4 | Average PSNR | 29.95 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | DPEC_ | https://arxiv.org/abs/2407.09553v4 | SSIM | 0.950 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | GLARE | https://arxiv.org/abs/2407.12431v1 | Average PSNR | 29.84 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | GLARE | https://arxiv.org/abs/2407.12431v1 | SSIM | 0.958 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | KAN-T | https://ieeexplore.ieee.org/abstract/document/10797300 | Average PSNR | 29.77 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | KAN-T | https://ieeexplore.ieee.org/abstract/document/10797300 | SSIM | 0.949 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | CIDNet | https://arxiv.org/abs/2402.05809v3 | Average PSNR | 29.566 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | CIDNet | https://arxiv.org/abs/2402.05809v3 | SSIM | 0.950 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | CIDNet | https://arxiv.org/abs/2402.05809v3 | LPIPS | 0.040 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | LYT-Net | https://arxiv.org/abs/2401.15204v6 | Average PSNR | 29.38 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | LYT-Net | https://arxiv.org/abs/2401.15204v6 | SSIM | 0.939 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | LYT-Net | https://arxiv.org/abs/2401.15204v6 | LPIPS | 0.037 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | Retinexformer | https://arxiv.org/abs/2303.06705v3 | Average PSNR | 29.04 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | Retinexformer | https://arxiv.org/abs/2303.06705v3 | SSIM | 0.939 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | GlobalDiff | https://arxiv.org/abs/2310.17577v2 | Average PSNR | 28.67 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | GlobalDiff | https://arxiv.org/abs/2310.17577v2 | SSIM | 0.944 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | GlobalDiff | https://arxiv.org/abs/2310.17577v2 | LPIPS | 0.047 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | DPEC | https://arxiv.org/abs/2407.09553v4 | Average PSNR | 26.19 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | DPEC | https://arxiv.org/abs/2407.09553v4 | SSIM | 0.939 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | FLIGHTNet | https://arxiv.org/abs/2305.10889v1 | Average PSNR | 24.92 |
Image Enhancement > Low-Light Image Enhancement | LOLv2-synthetic | FLIGHTNet | https://arxiv.org/abs/2305.10889v1 | SSIM | 0.93 |
Image Enhancement > Low-Light Image Enhancement | AFLW (Zhang CVPR 2018 crops) | enligh | https://arxiv.org/abs/1906.06972v2 | 14 gestures accuracy | 1 |
Image Enhancement > Low-Light Image Enhancement | LIME | CIDNet | https://arxiv.org/abs/2402.05809v3 | NIQE | 3.03 |
Image Enhancement > Low-Light Image Enhancement | LIME | CIDNet | https://arxiv.org/abs/2402.05809v3 | BRISQUE | 16.25 |
Image Enhancement > Low-Light Image Enhancement | LIME | BEM | https://openreview.net/forum?id=jJJOoLVAEm | NIQE | 3.56 |
Image Enhancement > Low-Light Image Enhancement | LIME | SNR-Aware | http://openaccess.thecvf.com//content/CVPR2022/html/Xu_SNR-Aware_Low-Light_Image_Enhancement_CVPR_2022_paper.html | NIQE | 4.18 |
Image Enhancement > Low-Light Image Enhancement | LIME | SNR-Aware | http://openaccess.thecvf.com//content/CVPR2022/html/Xu_SNR-Aware_Low-Light_Image_Enhancement_CVPR_2022_paper.html | BRISQUE | 39.22 |
Image Enhancement > Low-Light Image Enhancement | LIME | PairLIE | http://openaccess.thecvf.com//content/CVPR2023/html/Fu_Learning_a_Simple_Low-Light_Image_Enhancer_From_Paired_Low-Light_Instances_CVPR_2023_paper.html | NIQE | 4.58 |
Image Enhancement > Low-Light Image Enhancement | LIME | PairLIE | http://openaccess.thecvf.com//content/CVPR2023/html/Fu_Learning_a_Simple_Low-Light_Image_Enhancer_From_Paired_Low-Light_Instances_CVPR_2023_paper.html | BRISQUE | 25.23 |
Image Enhancement > Low-Light Image Enhancement | LIME | Zero-DCE | https://arxiv.org/abs/2001.06826v2 | User Study Score | 3.8 |
Image Enhancement > Low-Light Image Enhancement | LIME | Zero-DCE | https://arxiv.org/abs/2001.06826v2 | NIQE | 5.82 |
Image Enhancement > Low-Light Image Enhancement | LIME | Zero-DCE | https://arxiv.org/abs/2001.06826v2 | BRISQUE | 20.44 |
Image Enhancement > Low-Light Image Enhancement | LIME | Rextinexformer | https://arxiv.org/abs/2303.06705v3 | User Study Score | 4.3 |
Image Enhancement > Low-Light Image Enhancement | LOL-v2-synthetic | CIDNet | https://arxiv.org/abs/2402.05809v3 | PSNR | 25.705 |
Image Enhancement > Low-Light Image Enhancement | LOL-v2-synthetic | CIDNet | https://arxiv.org/abs/2402.05809v3 | SSIM | 0.942 |
Image Enhancement > Low-Light Image Enhancement | LOL-v2-synthetic | CIDNet | https://arxiv.org/abs/2402.05809v3 | LPIPS | 0.045 |
Image Enhancement > Low-Light Image Enhancement | LOL-v2-synthetic | Retinexformer | https://arxiv.org/abs/2303.06705v3 | PSNR | 25.67 |
Image Enhancement > Low-Light Image Enhancement | LOL-v2-synthetic | Retinexformer | https://arxiv.org/abs/2303.06705v3 | SSIM | 0.939 |
Image Enhancement > Low-Light Image Enhancement | MEF | CIDNet | https://arxiv.org/abs/2402.05809v3 | NIQE | 3.11 |
Image Enhancement > Low-Light Image Enhancement | MEF | CIDNet | https://arxiv.org/abs/2402.05809v3 | BRISQUE | 13.77 |
Image Enhancement > Low-Light Image Enhancement | MEF | BEM | https://openreview.net/forum?id=jJJOoLVAEm | NIQE | 3.14 |
Image Enhancement > Low-Light Image Enhancement | MEF | HEP | https://arxiv.org/abs/2112.01766v1 | NIQE | 3.188 |
Image Enhancement > Low-Light Image Enhancement | MEF | PairLIE | http://openaccess.thecvf.com//content/CVPR2023/html/Fu_Learning_a_Simple_Low-Light_Image_Enhancer_From_Paired_Low-Light_Instances_CVPR_2023_paper.html | NIQE | 4.06 |
Image Enhancement > Low-Light Image Enhancement | MEF | PairLIE | http://openaccess.thecvf.com//content/CVPR2023/html/Fu_Learning_a_Simple_Low-Light_Image_Enhancer_From_Paired_Low-Light_Instances_CVPR_2023_paper.html | BRISQUE | 27.53 |
Image Enhancement > Low-Light Image Enhancement | MEF | Zero-DCE | https://arxiv.org/abs/2001.06826v2 | User Study Score | 3.87 |
Image Enhancement > Low-Light Image Enhancement | MEF | Zero-DCE | https://arxiv.org/abs/2001.06826v2 | NIQE | 4.93 |
Image Enhancement > Low-Light Image Enhancement | MEF | Zero-DCE | https://arxiv.org/abs/2001.06826v2 | BRISQUE | 17.32 |
Image Enhancement > Low-Light Image Enhancement | MEF | Retinexformer | https://arxiv.org/abs/2303.06705v3 | User Study Score | 3.91 |
Image Enhancement > Low-Light Image Enhancement | MEF | EnlightenGAN | https://arxiv.org/abs/1906.06972v2 | User Study Score | 3.75 |
Image Enhancement > Low-Light Image Enhancement | SDSD-outdoor | Retinexformer | https://arxiv.org/abs/2303.06705v3 | PSNR | 29.84 |
Image Enhancement > Low-Light Image Enhancement | MIT-Adobe FiveK | Retinexformer | https://arxiv.org/abs/2303.06705v3 | PSNR | 24.94 |
Image Enhancement > Low-Light Image Enhancement | MIT-Adobe FiveK | Retinexformer | https://arxiv.org/abs/2303.06705v3 | SSIM | 0.907 |
Image Enhancement > Low-Light Image Enhancement | Nikon RAW Low Light | FSDAL-LL | https://arxiv.org/abs/2303.15528v1 | PSNR | 30.3 |
Image Enhancement > Low-Light Image Enhancement | Nikon RAW Low Light | FSDAL-LL | https://arxiv.org/abs/2303.15528v1 | SSIM | 0.913 |
Image Enhancement > Low-Light Image Enhancement | SID | Retinexformer | https://arxiv.org/abs/2303.06705v3 | PSNR | 24.44 |
Image Enhancement > Low-Light Image Enhancement | SID | Retinexformer | https://arxiv.org/abs/2303.06705v3 | SSIM | 0.680 |
Image Enhancement > Low-Light Image Enhancement | SID | AdaIR | http://openaccess.thecvf.com/content_ICCV_2019/html/Chen_Seeing_Motion_in_the_Dark_ICCV_2019_paper.html | 5-way 5~10-shot | 1 |
Image Enhancement > UIE | ACE 2005-RE | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 64.5 |
Image Enhancement > UIE | MIT Movie | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 90.6 |
Image Enhancement > UIE | ncbi_disease | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 83.8 |
Image Enhancement > UIE | ACE 2005-ED | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 74.2 |
Image Enhancement > UIE | ACE 2005-NER | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 86.1 |
Image Enhancement > UIE | CoNLL 2003 | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 95.1 |
Image Enhancement > UIE | SciERC | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 40.0 |
Image Enhancement > UIE | FabNER | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 82.9 |
Image Enhancement > UIE | ACE 2004 | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 86.2 |
Image Enhancement > UIE | Broad Twitter | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 78.3 |
Image Enhancement > UIE | BC5CDR | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 89.3 |
Image Enhancement > UIE | CoNLL 2004 | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 73.3 |
Image Enhancement > UIE | WNUT 2017 | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 66.4 |
Image Enhancement > UIE | GIDS | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 78.0 |
Image Enhancement > UIE | semeval RE | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 66.3 |
Image Enhancement > UIE | MultiNERD | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 96.1 |
Image Enhancement > UIE | GENIA | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 76.7 |
Image Enhancement > UIE | FindVehicle | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 99.4 |
Image Enhancement > UIE | kbp37 | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 73.2 |
Image Enhancement > UIE | DIANN | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 94.7 |
Image Enhancement > UIE | ACE 2005-EAE | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 70.3 |
Image Enhancement > UIE | ADE Corpus | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 84.3 |
Image Enhancement > UIE | NYT | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 93.7 |
Image Enhancement > UIE | BC2GM | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 82.0 |
Image Enhancement > UIE | WikiANN | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 87.0 |
Image Enhancement > UIE | OntoNotes 5.0 | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 88.2 |
Image Enhancement > UIE | MIT Restaurant | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 81.3 |
Image Enhancement > UIE | AnatEM | KnowCoder-7b-IE | https://arxiv.org/abs/2403.07969v2 | F1 score | 86.4 |
Image Enhancement > Image Relighting | VIDIT’20 validation set | OIDDR-Net | https://arxiv.org/abs/2105.02209v1 | PSNR | 17.62 |
Image Enhancement > Image Relighting | VIDIT’20 validation set | OIDDR-Net | https://arxiv.org/abs/2105.02209v1 | SSIM | 0.6645 |
Image Enhancement > Image Relighting | VIDIT’20 validation set | OIDDR-Net | https://arxiv.org/abs/2105.02209v1 | LPIPS | 0.2733 |
Image Enhancement > Image Relighting | VIDIT’20 validation set | OIDDR-Net | https://arxiv.org/abs/2105.02209v1 | MPS | 0.6956 |
Image Enhancement > Image Relighting | VIDIT’20 validation set | OIDDR-Net | https://arxiv.org/abs/2105.02209v1 | Runtime(s) | 0.53 |
Image Enhancement > Image Relighting | VIDIT’20 validation set | DRN | https://arxiv.org/abs/2008.08298v2 | PSNR | 17.59 |
Image Enhancement > Image Relighting | VIDIT’20 validation set | DRN | https://arxiv.org/abs/2008.08298v2 | SSIM | 0.596 |
Image Enhancement > Image Relighting | VIDIT’20 validation set | DRN | https://arxiv.org/abs/2008.08298v2 | LPIPS | 0.440 |
Image Enhancement > Image Relighting | VIDIT’20 validation set | DRN | https://arxiv.org/abs/2008.08298v2 | MPS | 0.578 |
Image Enhancement > Image Relighting | VIDIT’20 validation set | DRN | https://arxiv.org/abs/2008.08298v2 | Runtime(s) | 0.5 |
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