Comments (3)
Hi @hbarovertwo
I haven't tried this personally with cars, but the ResNet can take a while to train well. As for encoding, your results may vary, especially if the images you are trying to encode aren't similar to the training data. Good luck!
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Hi @pbaylies
I know that the faces dataset model is the highest quality among the several models that exist, but I was interested in the cars model. It generates good images, and I was hoping to encode some existing images into the car model's latent space and interpolate between them. However the results, using the existing pre-trained cars model and training resnet a bit did not do well at embedding images. Any advice? Thanks!
Hi @hbarovertwo
Have you resolve your work to generate high quality car image?
Currently I'm also trying to encoder a car image, not very clear as follows:
from stylegan-encoder.
@cssddnnc9527 I just used https://github.com/NVlabs/stylegan2 , they have pretrained car networks. Used those to encode car images and interpolate between vectors for some good looking synthetic cars.
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Related Issues (20)
- Trianing error about launch failed
- Error running encode_images.py on Colab HOT 2
- Error while running encode_images.py #41
- google drive exceeded encode_images.py
- Two bugs found HOT 2
- AttributeError: module 'tensorflow' has no attribute 'Dimension' HOT 2
- Face Alignment results in exception error
- Compatibility with pretrained stylegan2 model? HOT 7
- train encoder directly HOT 1
- requirements.txt empty and compatibility issues HOT 1
- assert img.shape == self.shape Assertion Error HOT 6
- How to interpolate a one region of two faces? HOT 1
- Why can't we find the vector Z and have to use W ? HOT 2
- runing StyleGAN_Encoder sehape error HOT 2
- Weird error, how do I fix it???'
- Why requirments.txt is empty HOT 1
- Getting error while run the 'encode_images.py' file
- 'latent_training_data' is no longer available HOT 1
- PreTrained Model HOT 1
- tf compatibility issue
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from stylegan-encoder.