Closed songquanpeng closed 3 years ago
Hi, thx for your great work! But I have a question about the implementation. In the paper, the objective function is:
So it looks like that we should get the optimized latent codes and the adaptive channel importance scores.
But in your implementation, there are only the latent codes are optimized:
# Invert latent_estimates, history = inversion.invert(generator, y_gt, loss, batch_size=1, video=args.video)
https://github.com/genforce/mganprior/blob/master/multi_code_inversion.py#L36
I wonder if there is something wrong with my understanding.
Thx in advance!
Got it
Hi, thx for your great work! But I have a question about the implementation. In the paper, the objective function is:
So it looks like that we should get the optimized latent codes and the adaptive channel importance scores.
But in your implementation, there are only the latent codes are optimized:
https://github.com/genforce/mganprior/blob/master/multi_code_inversion.py#L36
I wonder if there is something wrong with my understanding.
Thx in advance!