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Additional training for Motion Imitation #21
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@ryo12882 Hi, your guess is right. Our dataset (iPER focused on video) is not very big (though we have tried to make it larger), and it contains around 20 different people wearing 82 clothes with different textures in the training set. All (most) people are short black hairs. So, if the model trained on our iPER dataset, the results might be prone to be the training patterns (like the face, hair, and style of clothes) The Fashion dataset has a more variety on the style of clothes and hairs than our iPER dataset. However, it only provides paired images with different views of the same person (not videos). So, the best model is trained when combining these two datasets together. There are two ways to improve the results:
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Thank you for your quick response. I understand all you explained. I also would like to ask you about two ways.
And finally, I would like to join this project and help these tasks. Thank you. |
could u please talk about how to finetune the networks when the result is of low quality? |
Hi, would you mind telling us how to train the model with the Fashion dataset? |
Hi, thank you for your awesome work.
Btw, I tried to transfer my own with other target images.
Basically, it works but my head doesn't look like me. My hair style and face don't reflect.
Then, I assume this happened because of pre-trained model.
I saw datasets and found out most of people are short and black hair.
What do you think? And if so, how do I train more datasets?
And also, I tried to do for fashion model who you provided. It works well!!
I'm wondering what's going on.
Thanks in advance.
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