Comments (4)
ShenYujun
commented on June 23, 2024
This phenomenon is discussed in InterFaceGAN, which is that conditional manipulation does work well on StyleGAN W space. The reason is that all boundaries in the W space are already orthogonal. You can verify this by measuring the similarity between n and n_age you've mentioned. They should be very close to each other.
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fungtion
commented on June 23, 2024
Thanks. Is that means better distanglement in w space leads to the orthogonal boundaries?
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ShenYujun
commented on June 23, 2024
Yes. But the disentanglement in W space is not perfect. That is why the entanglement between "eyeglasses" and "age" can still be observed. How to find more disentangled boundaries is still worth exploring.
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fungtion
commented on June 23, 2024
I see, thank you.
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Related Issues (20)
- Details about training the encoder HOT 1
- Error occurs when running invert.py HOT 1
- How to set gpu id in train.py HOT 2
- ModuleNotFoundError: No module named 'tensorflow.contrib.nccl' HOT 1
- About resolution in styleGAN HOT 2
- Encoder train on crawled face or FFHQ HOT 5
- about the W space HOT 1
- why face with eyeglasses when aged? HOT 2
- Training an encoder using pretrained StyleGAN HOT 2
- CUDA, cuDNN and NCCL versions HOT 2
- Training problems HOT 1
- My own data set HOT 1
- Could you provide me with the code for calculating SWD?
- Will you update the training code for pytorch soon? HOT 2
- How many iterations are needed to generate similar faces？ HOT 1
- Error in Inversion Task HOT 2
- tensorflow.python.framework.errors_impl.InternalError: Blas GEMM launch failed HOT 3
- Using Semantic Diffusion in other domains (that are not faces) HOT 1
- Encoder is not trained at all. HOT 1
- Is it correct to use interfaceGAN when dealing with the tower dataset? HOT 1
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