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View Code? Open in Web Editor NEW[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer
Home Page: https://wywu.github.io/projects/ReenactGAN/ReenactGAN.html
[ECCV 2018] ReenactGAN: Learning to Reenact Faces via Boundary Transfer
Home Page: https://wywu.github.io/projects/ReenactGAN/ReenactGAN.html
Hi , thank you for releasing great project code.
I want to use boundary encoder that translate image to boundary map.
So I modify and reuse "test.sh" code.
But it's runtime is 2-3 seconds per image.
In the paper , it was written as " the reenactment process can run in real-time (30 FPS on one GTX 1080 GPU). "
I'm using the TITAN Xp GPU.
Is there anything I should be aware of or do wrong?
I'd appreciate it if you could give me advice.
thank you :)
There is no script for running a demo of pretrained model. If I want to run demo of pretrained model how should I run. @wywu @liren2515
thansk for ur works. i want to known is it one shot or few shot face reenactment?
i find ur target face is:
0: Emmanuel_Macron
1: Kathleen
2: Jack_Ma
3: Theresa_May
4: Donald_Trump
Is this model only good at this people?
The script for training the transformer uses a 'sample_40000.txt' file, which is not present in the CelebV dataset. Can you please explain what the file contains and the data format in the file?
1,建议在read me中提醒大家--gpu_ids 0,1,2,3,这个参数在train_Transformer.sh中必须根据自己的设备情况设定。很多兄弟都习惯先拿colab或kaggle跑一跑,k80和p100只有一块gpu,只能--gpu_ids 0 ,写排序gpu,cuda就会报错。
2,在train_Decoder.sh中,你把CelebV/Donald_Trump写成了CelebV/Donald_trump小写。于是报错,找不到文件夹了。下载的数据集默认是大写。
祝顺利
Where can I find the 98 points landmark detector? What are the description of the points?
I cannot find the exact model structure of Boundary Transformer. Can you notify me of the location of the described code or some detail dimensions and the number of residual blocks you used for the Boundary transformer?
It seems that the training code of the encode network for transforming the face image to boundary maps does not include in this project, you have provided the pretrained model, can you provide me the code for producing the ground-true boundary maps? Thanks!!!
Hi,
Thanks for realease the code.
About the effect, there are some new papers this year, Compare to following papers with ours, which effect is better.
1、'Few-Shot Adversarial Learning of Realistic Neural Talking Head Models'
2、'One-shot Face Reenactment'
Any suggestions?
Many thanks.
I would like to know how can we train on another dataset , and how to generate the all_98pt.txt file. I tried but it showed me an error.
Thanks for the nice work
The result from the test script is great.
However, how could I train the network on my own dataset.
I could not find the code for training the PCA and Edge network.
I guess these two parts are highly related to the training data, hence could not use the pretrained model in the repository.
Thanks
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