Open zomkey opened 4 years ago
Hi, thanks for your interest in this work. For photo-level loss, we normalize the color to 0-1 for output images and as a reference, the training loss drops to 0.1 in my training process. You could also try to reduce the weight of regularization on textures. The ratio between the weighted value (loss*weight) of photo-loss and landmark-loss is around 10 in my case. We do not carefully adjust the learning rate. We only use a Adam optimize with constant learning rate throughout the experiment.
Thanks for your advice, now I can achieve a convergency result.
@zomkey Hi, I am very interested in this work too, if convenient, could you send me your training codes so that I can learn the process better? My email address is : cherry_2lin@126.com Thank you very much!
@zomkey Hello, can you share your training code with me? My email : ChrisandPaul3@163.com Thanks a lot
@zomkey Hi, I am very interested in this work too, if convenient, could you send me your training codes so that I can learn the process better? My email address is : cherry_2lin@126.com Thank you very much!
Hi~Did you get the training codes? Recently, I am working on this project, too, so I want to know if you have got the training codes since I need that for my thesis.
Thanks for your advice, now I can achieve a convergency result.
I also always get mean shape. have you solved this problem??
@zomkey Hi, I am very interested in this work too, if convenient, could you send me your training codes so that I can learn the process better? My email address is : cherry_2lin@126.com Thank you very much!
Hi, Did you get the training code? Would you please sent it to me?
@zomkey Wow, I am very interested in this work too, if convenient, could you send me your training codes so that I can learn the process better? My email address is :qq1063653217@outlook.com Thank you!
Thanks for your advice, now I can achieve a convergency result.
Hi, I am very interested in this work too, if convenient, could you send me your training codes ? Thank you very much! My email address is : 824218055@qq.com
Thanks for your advice, now I can achieve a convergency result.
Hi, I am very interested in this work too, if convenient, could you send me your training codes ? Thank you very much! My email address is : 10386822@qq.com
Hi, I am very interested in this work too, if convenient, could you send me your training codes ? Thank you very much! My email address is : 245511342@qq.com
@zomkey Hi, I am very interested in this work too, if convenient, could you send me your training codes ? Thank you very much! My email address is : 984146874@qq.com
Hi,thanks for your work, I am really interested ! Now I have implement training process according to your paper, but I found some problems during training: