Comments (5)
ShenYujun
commented on July 16, 2024
Sorry that we will not release the attribute model. However, you can manually label a collection of synthesized images and then train a linear boundary for further manipulation.
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muxgt
commented on July 16, 2024
So is there a format of what labels should be? Or 1 and 0 will be OK?
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ShenYujun
commented on July 16, 2024
Yes, 0/1 is enough.
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muxgt
commented on July 16, 2024
OK, thanks!
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kLamda
commented on July 16, 2024
@muxgt
Were you able to determine the attribute scores?
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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
- What is the rationale behind sampling from the normal distribution for the W latent code, which is not a normal distribution at all?
- Training with custom dataset HOT 3
- vgg16_zhang_perceptual.pkl _pickle.UnpicklingError: invalid load key, '-'.
- pose attribute control
- 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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