Comments (3)
What are you trying to do with the latents you inverted?
from sam.
the inverter you use is not as accurate when reversing faces, there is another more accurate that provides the latent code.
I would like to use latent code of that inverse here, to change the age.
from sam.
SAM works in an end-to-end manner where it receives an image as input. It seems like you are interested more in latent space approaches that receive a latent as input. You can try latent space approaches such as InterFaceGAN, StyleFlow, or GANSpace. However, as we showed in the paper such approaches struggle to model aging, particularly on real images.
May I ask what inversion method you used?
from sam.
Related Issues (20)
- [ERROR] c++: error: c10_cuda.lib: No such file or directory HOT 1
- Tflite HOT 1
- No module named 'models.fused_act' HOT 2
- What is the difference between source and target? HOT 2
- How the loss lambdas are set? HOT 3
- Could you please share more details about PCA? HOT 2
- inference error HOT 2
- custom dataset
- Sorry for disturbance ,Environment/sam_env.yaml have some problem HOT 3
- how to finetune the vgg age (DEX) ? HOT 1
- How can we use this model on CPU. HOT 2
- How can I run this on CPU ? HOT 2
- ImportError: No module named 'fused' HOT 3
- Getting Current Age of person HOT 1
- urllib.error.URLError: <urlopen error [Errno 111] Connection refused> HOT 4
- Gray image test results HOT 2
- time issue
- Error When Specifying Multiple Ages for --target_age Parameter In Replicate
- lpips_lambda_aging and l2_lambda_aging
- Could not find face in image. Try another!
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from sam.