Comments (1)
- Please refer to Appendix C for additional implementation details.
- Spectral Norm is a weight normalization strategy proposed in Spectral Normalization for Generative Adversarial Networks to stabilize the GAN training. It is applied to the conv layers in our work.
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Related Issues (19)
- The result may not correct. HOT 3
- parmeters HOT 1
- Other GPU ids throw error HOT 4
- latest_net_G.pth HOT 2
- Inception Score
- How to train on custom dataset? HOT 1
- cuda runtime error (700) : an illegal memory access was encountered HOT 3
- Reducing Generator size
- Alpha is not working
- Why do you put FADE before Conv? HOT 1
- Beg for the trained BDD100K dataset
- Requirements and device versions HOT 2
- results are broken HOT 1
- Do we gain speed due to the simplicity of the model?
- three question about network detail HOT 5
- How to get FID? HOT 2
- License HOT 1
- cityscapes sis pretrained model HOT 3
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