The Meaning of Total Variation Loss

[Xinyu-Li-123]

I found an explanation of the total variation loss from the tutorial on the official website of TensorFlow. It says that total variation loss is a regularization term that can decrease the high-freqency artifacts of the output image. Neural Style Transfer, without total variation loss, tend to increase the high frequency components of the content image. Maybe we can add this to the Readme file