Deep Learning, Image Processing, Convolutional Network, Machine Learning, Artificial Intelligence.
can be used as a loss. Here, the ground truth image and generated image are passed through the pre-trained network, and the network features generated are compared based on some distance metric, such as L2. When an exact match between the images is not required, context loss can be used. Training