├── .assets ├── calib │ ├── 1600_K1.png │ ├── IMG_0016.jpg │ ├── IMG_0483.jpg │ └── log.png ├── logo-mipi.svg └── logo.svg ├── .gitignore ├── .vscode └── settings.json ├── LICENSE ├── README.md ├── VERSION ├── datasets ├── EMoR │ ├── CRF_SonyA7S2_3.txt │ ├── CRF_SonyA7S2_5.txt │ └── emor.txt ├── README.md └── txtfiles │ ├── ELD │ ├── NikonD850 │ │ ├── NikonD850_list.txt │ │ ├── NikonD850_list_1.txt │ │ ├── NikonD850_list_10.txt │ │ ├── NikonD850_list_100.txt │ │ ├── NikonD850_list_100_wo_train.txt │ │ ├── NikonD850_list_10_wo_train.txt │ │ ├── NikonD850_list_1_wo_train.txt │ │ ├── NikonD850_list_200.txt │ │ ├── NikonD850_list_200_wo_train.txt │ │ ├── NikonD850_list_wo_train.txt │ │ └── NikonD850_train_list.txt │ └── SonyA7S2 │ │ ├── SonyA7S2_list.txt │ │ ├── SonyA7S2_list_1.txt │ │ ├── SonyA7S2_list_10.txt │ │ ├── SonyA7S2_list_100.txt │ │ ├── SonyA7S2_list_100_wo_train.txt │ │ ├── SonyA7S2_list_10_wo_train.txt │ │ ├── SonyA7S2_list_1_wo_train.txt │ │ ├── SonyA7S2_list_200.txt │ │ ├── SonyA7S2_list_200_wo_train.txt │ │ ├── SonyA7S2_list_wo_train.txt │ │ └── SonyA7S2_train_list.txt │ ├── HDR │ ├── train.txt │ └── train1.txt │ └── SID │ └── SonyA7S2 │ ├── fewshot_2x.txt │ ├── train.txt │ ├── valid_100.txt │ ├── valid_250.txt │ └── valid_300.txt ├── docs ├── benchmark.md ├── calib_cn.md ├── calib_en.md ├── demo.md ├── develop.md ├── install.md ├── pretrained-models.md └── todo.md ├── inference └── README.md ├── install.sh ├── led ├── __init__.py ├── archs │ ├── __init__.py │ ├── cunet_arch.py │ ├── nafnet_arch.py │ ├── repnr_utils.py │ ├── restormer_arch.py │ └── unet_arch.py ├── data │ ├── __init__.py │ ├── data_sampler.py │ ├── fewshot_paired_raw_dataset.py │ ├── hdr_paired_noiseraw_dataset.py │ ├── hdr_util.py │ ├── mipi_dataset.py │ ├── noise_utils │ │ ├── __init__.py │ │ ├── augment_on_the_fly.py │ │ ├── common.py │ │ ├── isp.py │ │ └── noise_generator.py │ ├── paired_raw_dataset.py │ ├── part_enhance.py │ ├── prefetch_dataloader.py │ ├── raw_gt_dataset.py │ └── raw_utils.py ├── losses │ ├── __init__.py │ ├── basic_loss.py │ ├── gan_loss.py │ └── loss_util.py ├── metrics │ ├── __init__.py │ ├── metric_util.py │ └── psnr_ssim.py ├── models │ ├── __init__.py │ ├── base_model.py │ ├── lr_scheduler.py │ ├── raw_base_model.py │ ├── raw_denoising_model.py │ ├── raw_denoising_utils.py │ └── raw_image_denoising_model.py ├── test.py ├── train.py └── utils │ ├── __init__.py │ ├── color_util.py │ ├── common.py │ ├── dist_util.py │ ├── download_util.py │ ├── img_util.py │ ├── logger.py │ ├── misc.py │ ├── options.py │ ├── process.py │ └── registry.py ├── options ├── ELD │ ├── ELD_NikonD850_CVPR20_ELD_Setting.yaml │ ├── ELD_SonyA7S2_CVPR20_ELD_Setting.yaml │ ├── SID_SonyA7S2_CVPR20_ELD_Setting.yaml │ └── SID_SonyA7S2_MM22_PMN_Setting.yaml ├── LED │ ├── README.md │ ├── finetune │ │ ├── ELD_NikonD850_CVPR20_ELD_Setting.yaml │ │ ├── ELD_SonyA7S2_CVPR20_ELD_Setting.yaml │ │ ├── SID_SonyA7S2_CVPR20_ELD_Setting.yaml │ │ └── SID_SonyA7S2_MM22_PMN_Setting.yaml │ ├── other_arch │ │ ├── NAFNet │ │ │ ├── LED+NAFNet_Finetune.yaml │ │ │ └── LED+NAFNet_Pretrain.yaml │ │ └── Restormer │ │ │ ├── LED+Restormer_Finetune.yaml │ │ │ └── LED+Restormer_Pretrain.yaml │ └── pretrain │ │ ├── CVPR20_ELD_Setting.yaml │ │ ├── CVPR20_ELD_Setting_Ratio1-200.yaml │ │ └── MM22_PMN_Setting.yaml ├── P-G │ ├── ELD_NikonD850_CVPR20_ELD_Setting.yaml │ ├── ELD_SonyA7S2_CVPR20_ELD_Setting.yaml │ └── SID_SonyA7S2_CVPR20_ELD_Setting.yaml ├── SID │ └── SID_SonyA7S2_CVPR_ELD_Setting.yaml ├── UltraLED │ ├── train_step1.yaml │ └── train_step2.yaml └── base │ ├── dataset │ ├── finetune │ │ ├── ELD_NikonD850_fewshot_raw_pair24.yaml │ │ ├── ELD_SonyA7S2_fewshot_raw_pair24.yaml │ │ └── SID_SonyA7S2_fewshot_raw_pair6.yaml │ ├── pretrain │ │ ├── SID_raw_gt.yaml │ │ ├── SID_train.yaml │ │ ├── UltraLED_trainS1.yaml │ │ └── UltraLED_trainS2.yaml │ └── test │ │ ├── ELD_NikonD850_val_split.yaml │ │ ├── ELD_SonyA7S2_val_split.yaml │ │ └── SID_SonyA7S2_val_split.yaml │ ├── demo │ └── base.yaml │ ├── finetune │ ├── CVPR20_ELD.yaml │ └── MM22_PMN.yaml │ ├── logger_not_val.yaml │ ├── network_g │ ├── cunet.yaml │ ├── nafnet.yaml │ ├── repnr_nafnet.yaml │ ├── repnr_restormer.yaml │ ├── repnr_unet.yaml │ ├── restormer.yaml │ ├── unet.yaml │ └── unet41.yaml │ ├── noise_g │ ├── noise_g_NikonD850.yaml │ ├── noise_g_SonyA7M4.yaml │ ├── noise_g_SonyA7S2.yaml │ └── noise_g_virtual.yaml │ ├── pretrain │ ├── CVPR20_ELD.yaml │ ├── MM22_PMN.yaml │ ├── NIPS25_UltraLEDS1.yaml │ └── NIPS25_UltraLEDS2.yaml │ ├── test │ └── base.yaml │ └── val_and_logger.yaml ├── pretrained └── README.md ├── requirements.txt ├── scripts ├── benckmark.py ├── cutomized_denoiser.py ├── data_preparation │ ├── accelerate.sh │ ├── bayer_to_npy.py │ ├── eld_to_sid_structure.py │ └── extract_bayer_subimages_with_metadata.py ├── dist_test.sh ├── dist_train.sh ├── download │ └── README.md ├── download_gdrive.py ├── image_process.py ├── image_process_ultraled.py └── test_metrics_ultraled.py ├── setup.cfg ├── 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