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GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]

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python data/prepare_au_annotations.py -ia=sample_dataset/ -op=sample_output/?

Is there any demo file available for results, as I can only see training and testing scripts. @albertpumarola

Fake image generation in ganimation.py is like this: # generate fake images fake_imgs, fake_img_mask = self._G.forward(real_img_a, real_cond_b) fake_img_mask = self._do_if_necessary_saturate_mask(fake_img_mask, saturate=self._opt.do_saturate_mask) fake_imgs_masked = fake_img_mask * real_img_a + (1 - fake_img_mask)...

Can you please share the pretrained model link? I havent found out anywhere in the repo..

Hello, I use 1080Ti to train 200000 images, every image is 128*128. However, the speed of training is very slow, It takes me almost 4 hours to finish one epoch...

hello, thanks for your wonderful work. I have obtained the 95w images of EmotioNet, extracted the AUs with OpenFace and cropped the faces with face_recognition. The problem is, how to...

How long does it take to apply for EmotionNet data set?

While executing the train.py file, **IndexError: invalid index of a 0-dim tensor. Use `tensor.item()` in Python or `tensor.item()` in C++ to convert a 0-dim tensor to a number** The complete...

Hi, I'm trying to implement the code on a custom dataset and followed the necessary step. My `dataset` directory consists of: `train_ids.csv` - containing the names of all images (128x128...