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I wanted to know if it is possible to add my own training data to essentially bias the model with known faces.
For instance, I have a very old VHS tape of my parents wedding that I would like to restore. The current model returns results that look like different people. However, I also have high quality 35mm still photos taken on that day. I would like to use these high quality 35mm photos to train the current model on my parents faces.
I call this matched subject restoration where the training data has been given high resolution matched subject data to use versus random similar training data.
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I wanted to know if it is possible to add my own training data to essentially bias the model with known faces.
For instance, I have a very old VHS tape of my parents wedding that I would like to restore. The current model returns results that look like different people. However, I also have high quality 35mm still photos taken on that day. I would like to use these high quality 35mm photos to train the current model on my parents faces.
I call this matched subject restoration where the training data has been given high resolution matched subject data to use versus random similar training data.
any suggestions on how to do this?
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