How to manipulate real faces? about interfacegan HOT 5 CLOSED

Please refer to this repo.

from interfacegan.

Hello, I use LIA to extract latent codes from input images and then use them as inputs for interfacegan. However, I cannot generate results of the same input images of LIA. I used pre-trained models from LIA and interfacegan. Do I need to process extracted latent codes? Or can you provide codes and models for Fig.11? Thank you.

E, _, _, Gs, _ = load_pkl(args.restore_path)
real = tf.placeholder('float32', [None, 3, args.image_size, args.image_size], name='real_image')
encoder_w = E.get_output_for(real, phase=False)
sess = tf.get_default_session()
latent_code = sess.run(encoder_w, feed_dict={real: input_image})
np.save('%s/%s.npy' % (save_dir, im_name), latent_code)

python edit.py \
    -m pggan_celebahq \
    -b boundaries/pggan_celebahq_smile_boundary.npy \
    -i $INPUT_LATENT_CODES_PATH \
    -o results/from_latent_code/pggan/celebahq/smile_editing

python edit.py \
    -m stylegan_ffhq \
    -b boundaries/stylegan_ffhq_smile_boundary.npy \
    -i $INPUT_LATENT_CODES_PATH \
    -o results/from_latent_code/stylegan/ffhq/smile_editing

from interfacegan.

You are using the official PGGAN (pggan_celebahq) and StyleGAN (stylegan_ffhq) models for editing, but LIA uses its own model for inversion. Please find the boundaries for LIA model and use them for manipulation. This repo only contains the boundaries and editing script w.r.t. PGGAN and StyleGAN.

from interfacegan.

Can you give a guidance to reproduce results in Fig.11? Thank you.

from interfacegan.

1. Find your own boundaries with LIA model (this process is exactly the same as that of PGGAN and StyleGAN).
2. Invert real images with LIA encoder and get the inverted codes.
3. Move the inverted codes towards the boundaries (use utils/manipulator.py)
4. Use the LIA generator to produce images with the manipulated codes.

from interfacegan.