Please refer to the Matlab example (https://www.mathworks.com/help/images/learning-to-see-in-the-dark.html), This page itself acknowledges that "The colors of the network prediction are less saturated and vibrant than in the ground truth". I have compared it against the original TF model as provided by the original authors (https://github.com/cchen156/Learning-to-See-in-the-Dark) which DOES provide a very good reconstruction of the ground truth with vibrant colors. I have tried retraining the model in Matlab and got similarly poor results as the Matlab-provided pretrained model. Could someone please throw light on what could be causing this? I am afraid without a solution, Matlab example is not useful at all compared to the Tensorflow solution.Please refer to the Matlab example (https://www.mathworks.com/help/images/learning-to-see-in-the-dark.html), This page itself acknowledges that "The colors of the network prediction are less saturated and vibrant than in the ground truth". I have compared it against the original TF model as provided by the original authors (https://github.com/cchen156/Learning-to-See-in-the-Dark) which DOES provide a very good reconstruction of the ground truth with vibrant colors. I have tried retraining the model in Matlab and got similarly poor results as the Matlab-provided pretrained model. Could someone please throw light on what could be causing this? I am afraid without a solution, Matlab example is not useful at all compared to the Tensorflow solution. Please refer to the Matlab example (https://www.mathworks.com/help/images/learning-to-see-in-the-dark.html), This page itself acknowledges that "The colors of the network prediction are less saturated and vibrant than in the ground truth". I have compared it against the original TF model as provided by the original authors (https://github.com/cchen156/Learning-to-See-in-the-Dark) which DOES provide a very good reconstruction of the ground truth with vibrant colors. I have tried retraining the model in Matlab and got similarly poor results as the Matlab-provided pretrained model. Could someone please throw light on what could be causing this? I am afraid without a solution, Matlab example is not useful at all compared to the Tensorflow solution. see in the light dataset, image regression, low light enhancement MATLAB Answers — New Questions

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