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Face Identity Disentanglement via Latent Space Mapping [SIGGRAPH ASIA 2020]

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I'm getting poor results running the pretrained model. For example, with both id and attr as: ![id_0](https://user-images.githubusercontent.com/10966152/192450978-0e524f29-46d1-4023-8884-c3ba2324f038.png) I get a prediction of: ![prediction_0](https://user-images.githubusercontent.com/10966152/192450849-b80b8aba-4641-421a-8d4b-e037109a1096.png) I'm running: python test.py Name --pretrained_models_path checkpoints...

May I ask if the codes of evaluation are provided including FID, identity, pose and attribute as shown in figure 1? ![image](https://user-images.githubusercontent.com/105756635/179778566-a18c515b-0ab8-49a7-bc6e-1477a55b951c.png)

Thanks for your sharing. I tried to train your code, but I found that there is no pretrained G ![image](https://user-images.githubusercontent.com/37701943/131329352-65c54153-2596-4f28-893f-ed6b557fcb73.png) I have download your pretrained model in setup files, the...

Thanks for your beautiful work, i want to konw how to do the interpolation experiment just like the result in the paper specifically ?

Hey @YotamNitzan , Thanks for sharing such an awesome work! I wanted to transfer head pose(attributes) from one source image to target image. They both are different people from the...

I have looked up some information, but still don't know how to solve it. Is there anyone who can help me? Traceback (most recent call last): File "test.py", line 45,...