├── .gitignore ├── .gitmodules ├── README.md ├── aim22-reverseisp ├── README.md ├── aim-material │ ├── AIM 2022 Reversed ISP Challenge.pdf │ ├── Learned Reverse ISP with Soft Supervision Slides.pptx │ ├── Learned Reverse ISP with Soft Supervision.pdf │ ├── Overexposure-Mask-Fusion-Generalizable-ReverseISP.pdf │ ├── Reversing Image Signal Processors by Reverse Style Transferring Slides.pdf │ ├── Reversing Image Signal Processors by Reverse Style Transferring.pdf │ └── poster_Overexposure-Mask-Fusion-Generalizable-ReverseISP.pdf ├── baseline-ckps │ ├── p20-unet-rev-isp.pt │ └── s7-unet-rev-isp.pt ├── compare-methods.ipynb ├── official-baseline.ipynb ├── official-starter-code.ipynb ├── scoring │ ├── evaluation.py │ ├── myssim.py │ └── sample_submission.py └── teams │ ├── .gitkeep │ ├── 0noise │ ├── .gitignore │ ├── checkpoints │ │ └── .gitkeep │ ├── dataset │ │ └── dataset.py │ ├── evaluation │ │ └── performance.py │ ├── inference_evaluation.py │ ├── launch-inference.sh │ ├── models │ │ ├── __init__.py │ │ └── base_model.py │ ├── options.py │ ├── output │ │ └── .gitkeep │ ├── readme.md │ ├── requeriments.txt │ └── utils │ │ └── utils.py │ └── HIT-IIL │ ├── README.md │ ├── sRGB-to-RAW-p20 │ ├── data │ │ ├── __init__.py │ │ ├── base_dataset.py │ │ ├── imlib.py │ │ ├── p20_dataset.py │ │ └── p20patch_dataset.py │ ├── models │ │ ├── __init__.py │ │ ├── arch_util.py │ │ ├── base_model.py │ │ ├── blocks.py │ │ ├── global_net.py │ │ ├── local_arch.py │ │ ├── losses.py │ │ ├── modules.py │ │ ├── mwcnn_model.py │ │ ├── naf_model.py │ │ ├── net.py │ │ ├── networks.py │ │ └── utils.py │ ├── options │ │ ├── __init__.py │ │ ├── base_options.py │ │ ├── test_options.py │ │ └── train_options.py │ ├── pwc │ │ ├── correlation │ │ │ └── correlation.py │ │ └── pwc_net.py │ ├── test_full.py │ ├── test_p20.sh │ ├── train.py │ ├── train_p20.sh │ └── util │ │ ├── AISP_utils.py │ │ ├── __init__.py │ │ ├── myssim.py │ │ ├── util.py │ │ └── visualizer.py │ └── sRGB-to-RAW-s7 │ ├── data │ ├── __init__.py │ ├── base_dataset.py │ ├── imlib.py │ ├── s7align_dataset.py │ └── s7alignpatch_dataset.py │ ├── models │ ├── .DS_Store │ ├── __init__.py │ ├── arch_util.py │ ├── base_model.py │ ├── local_arch.py │ ├── losses.py │ ├── modules.py │ ├── mwcnn_model.py │ ├── net.py │ ├── networks.py │ ├── s7smooth_model.py │ └── utils.py │ ├── options │ ├── __init__.py │ ├── base_options.py │ ├── test_options.py │ └── train_options.py │ ├── pwc │ ├── correlation │ │ └── correlation.py │ └── pwc_net.py │ ├── requirements.txt │ ├── test_full.py │ ├── test_full.sh │ ├── test_full_Ensembles.py │ ├── train.py │ ├── train_s7.sh │ └── util │ ├── AISP_utils.py │ ├── GaussianBlur.py │ ├── JPEG.py │ ├── JPEG_utils.py │ ├── __init__.py │ ├── compression.py │ ├── decompression.py │ ├── myssim.py │ ├── util.py │ └── visualizer.py ├── ebokeh ├── code │ ├── __init__.py │ ├── data │ │ ├── __init__.py │ │ └── dataset.py │ ├── metrics │ │ ├── __init__.py │ │ └── metrics.py │ ├── model │ │ ├── __init__.py │ │ ├── archs │ │ │ ├── EBokehNet_arch.py │ │ │ ├── __init__.py │ │ │ ├── arch_util.py │ │ │ └── local.py │ │ └── ln_modules.py │ └── utils │ │ ├── __init__.py │ │ ├── dataloading_utils.py │ │ └── eval_utils.py ├── evaluate.py ├── evaluate_EBB.py ├── evaluate_s.py ├── readme.md └── requirements.txt ├── imresutils ├── blur.py ├── degradations.py ├── generate_lq.ipynb ├── imres_doc.md ├── kernels.npy └── noise.py ├── lpienet ├── lpienet-app.png ├── lpienet-plot.png ├── lpienet-pytorch.py └── lpienet-tflite.ipynb ├── mai22-learnedisp ├── ai-benchmark.jpg ├── mai-learned-isp-dev.ipynb ├── model.tflite ├── model_isp_final_23_46.h5 ├── model_isp_final_23_46_last.h5 ├── result-isp.png ├── result-isp2.png └── result-isp3.png ├── mbispld ├── mbispld.pdf └── mbispld.png ├── media ├── aim-risp-header.png ├── aim-risp-intro.png ├── aim-sponsors.png ├── lpienet.png ├── papers │ ├── bokeh-ntire23.png │ ├── isp-aaai22.png │ ├── lpienet-wacv23.png │ └── reisp-aim22.png ├── raw_degradations.png ├── 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