Comments (1)
You can maybe look at my code. I've managed to break the generator and interpolate between the original and target latent space in my fork of StarGAN and branch v2 (https://github.com/satyenrajpal/StarGAN/tree/v2). There's a function called 'interpolate' in solver.py. The project is currently in progress but the interpolate function is working.
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Related Issues (20)
- request for RaFD dataset
- change IMAGE_SIZE
- How to align Rafd dataset?
- Evaluation Metric "Classification Error" on RaFD dataset?
- Error when testing
- Got stuck at self.G.to(self.device) HOT 3
- Not using Epoch but Iteration to train HOT 1
- Manage domain (attribute) as StarGANv1 HOT 1
- Missing Classification loss in Discriminator for fake Images HOT 2
- Question about parameter adjustment when changing attributes
- Can you share your pre-trained model on RaFD dataset? HOT 1
- [Question] Mask vector in this paper
- how to save the generated images separated HOT 3
- zero vector order in the domain label vector
- Reverse attribute value
- How to get reconstructed images in test stage
- Hello, can you provide the multi-attribute translation task code of solver.py?
- Where does the extra dimension come from in the target labels list?
- Question: Instance Normalization with track_running_stats= True
- Dataset link is not working HOT 2
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