Comments (1)
Use an off-the-shelf classifier to prepare (latent_code, semantic_score) pairs. And then use train_boundary.py
for boundary search.
from interfacegan.
Related Issues (20)
- AttributeError: module 'tensorflow' has no attribute 'get_variable' HOT 2
- Access to training modules
- how do I test on my own set of images? Whenever I try testing it opens up sample images..Any help will be appreciated, HOT 2
- How can we generate the 256 resolution images for style GAN on celebahq instead of 1024?
- Can I use my own face for Semantic Face Editing HOT 1
- changing dataset HOT 4
- Integrate expression boundaries
- Replicate demo?
- Conditional manipulation HOT 1
- Multiple Semantics. HOT 1
- Pretrained Model on pggan
- how can i run an inference using CPU?
- how to get latent codes from jpg/png images? HOT 1
- question about the proof
- Can you provide me with ppgan_ celebahq.pth file as pre-training model HOT 1
- It can realize the attributes of other kinds of objects, not the search of face attributes, such as the conversion of landscape images into snow, rain, mountains, etc.
- Issue regarding method linear_interpolate in file utils/manipulator.py
- How to train a classifier to get attribute scores HOT 2
- does it provide the function of generating an eyeglass on my own face photo?
- About editing HOT 2
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from interfacegan.