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TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

Home Page: https://arxiv.org/abs/1804.03675

Python 54.61% MATLAB 36.65% HTML 8.74%
3dmm eccv-2018 face-generation face-recognition gan generative-adversarial-network synthetic-images tensorflow

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barisgecer avatar carpedm20 avatar chengdazhi avatar sugyan avatar

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facegan's Issues

The question about 300W-3D database generate tranining data

According to the readme.txt in 3DDFA , I can't generated the training data with the MATLAB code. Except the testing picture in the original folder. When add the *.mat from "300W-3D" and *_face.mat from"300W-3D-Face" to the 'input/' folder , just come out the all black picture. Can you give me some idea ? Thank you very much.

windows or linux?

when i see the environment.yml, it seems that it should be run in windows. but in the readme file, the symbol $ indicate it is run in linix, which system should i should the code? Thank you so much!

codes to run MTCNN for preprocess

Thanks for great paper.

In README, you say

Align and crop all datasets using MTCNN to 108x108

but are there any available codes to run MTCNN to align and crop images?

test

Why dataset_3dmm and dataset are needed for testing? How to generate realistic image from synthetic one without needing to prepare additional dataset?

Pretrained model

Dear Baris, thank you for your codes! Do you mind helping me a bit to launch it? I am stuck with attempt not to train it, but to use your model. It asks me why '--dataset' is empty... but why shouldn't it be if I am not training the model, but willing only to synthesis some new faces?

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