Skip to content

what is the meaning of the identity loss and training result? #373

Description

@Adherer

1.The first question
In the paper, it says:

In particular, we adopt the technique of Taigman et al. [45] and regularize the generator to be near an identity mapping when real samples of the target domain are provided as the input to the generator:
image

What is the meaning of the identity loss?
Can anyone tell the meaning of this formula and explain this formula specifically? thank you very much

This is the result of epoch [200]:
image

What is the meaning of the rec_A and idt_A?Is picture A randomly extracted from the training data set?

Activity

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Projects

    No projects

      Milestone

      No milestone

      Relationships

      None yet

      Development

      No branches or pull requests

      Issue actions