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README.md

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+
+---
+language: en
+tags:
+- image-processing
+- image-denoising
+- deep-learning
+license: apache-2.0
+model_name: Image Denoising Model
+---
+
+# Convolutional Blind Denoising 
+
+This Repo contains the weights and config of CBDNet Model.
+
+# Datasets
+
+- LOL Dataset
+- Smartphone Image Denoising Dataset
+
+# References
+https://arxiv.org/pdf/1807.04686v2.pdf
+

config.json

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+{"model": {"Noise_Estimation": {"conv1": {"in_channels": 3, "out_channels": 32, "kernel_size": [3, 3], "padding": "same"}, "relu1": {}, "conv2": {"in_channels": 32, "out_channels": 32, "kernel_size": [3, 3], "padding": "same"}, "relu2": {}, "conv3": {"in_channels": 32, "out_channels": 32, "kernel_size": [3, 3], "padding": "same"}, "relu3": {}, "conv4": {"in_channels": 32, "out_channels": 32, "kernel_size": [3, 3], "padding": "same"}, "relu4": {}, "conv5": {"in_channels": 32, "out_channels": 3, "kernel_size": [3, 3], "padding": "same"}, "relu5": {}}, "Denoising": {"conv1": {"in_channels": 6, "out_channels": 64, "kernel_size": [3, 3], "padding": "same"}, "relu1": {}, "conv2": {"in_channels": 64, "out_channels": 64, "kernel_size": [3, 3], "padding": "same"}, "relu2": {}, "pool1": {"kernel_size": [2, 2], "padding": 0}, "conv3": {"in_channels": 64, "out_channels": 128, "kernel_size": [3, 3], "padding": "same"}, "relu3": {}, "conv4": {"in_channels": 128, "out_channels": 128, "kernel_size": [3, 3], "padding": "same"}, "relu4": {}, "conv5": {"in_channels": 128, "out_channels": 128, "kernel_size": [3, 3], "padding": "same"}, "relu5": {}, "pool2": {"kernel_size": [2, 2], "padding": 0}, "conv6": {"in_channels": 128, "out_channels": 256, "kernel_size": [3, 3], "padding": "same"}, "relu6": {}, "conv7": {"in_channels": 256, "out_channels": 256, "kernel_size": [3, 3], "padding": "same"}, "relu7": {}, "conv8": {"in_channels": 256, "out_channels": 256, "kernel_size": [3, 3], "padding": "same"}, "relu8": {}, "conv9": {"in_channels": 256, "out_channels": 256, "kernel_size": [3, 3], "padding": "same"}, "relu9": {}, "conv10": {"in_channels": 256, "out_channels": 256, "kernel_size": [3, 3], "padding": "same"}, "relu10": {}, "conv11": {"in_channels": 256, "out_channels": 256, "kernel_size": [3, 3], "padding": "same"}, "relu11": {}, "convT1": {"in_channels": 256, "out_channels": 128, "kernel_size": [2, 2], "stride": 2}, "reluT1": {}, "conv12": {"in_channels": 128, "out_channels": 128, "kernel_size": [3, 3], "padding": "same"}, "relu12": {}, "conv13": {"in_channels": 128, "out_channels": 128, "kernel_size": [3, 3], "padding": "same"}, "relu13": {}, "conv14": {"in_channels": 128, "out_channels": 128, "kernel_size": [3, 3], "padding": "same"}, "relu14": {}, "convT2": {"in_channels": 128, "out_channels": 64, "kernel_size": [2, 2], "stride": 2}, "reluT2": {}, "conv15": {"in_channels": 64, "out_channels": 64, "kernel_size": [3, 3], "padding": "same"}, "relu15": {}, "conv16": {"in_channels": 64, "out_channels": 64, "kernel_size": [3, 3], "padding": "same"}, "relu16": {}, "conv17": {"in_channels": 64, "out_channels": 3, "kernel_size": [3, 3], "padding": "same"}, "relu17": {}}, "CBDNet": {"noise_estimation": "Noise_Estimation", "denoising": "Denoising"}}}

pytorch_model.bin

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