Excellent work! your work inspires me. Now I am trying to train this model. I am confused during the rough training stage. The calculation of identity loss has been maintained at a value of around 0.15 without dropping. According to your paper, this loss can help learn shape, and the result of my training It's the shape that I didn't learn successfully. So I want to ask, what is the normal behavior of this loss during training. BTW, What is the magnitude of the convergence of each loss to the final?
Excellent work! your work inspires me. Now I am trying to train this model. I am confused during the rough training stage. The calculation of identity loss has been maintained at a value of around 0.15 without dropping. According to your paper, this loss can help learn shape, and the result of my training It's the shape that I didn't learn successfully. So I want to ask, what is the normal behavior of this loss during training. BTW, What is the magnitude of the convergence of each loss to the final?