Comments (2)
bamos
commented on July 24, 2024
Hi, I'm not sure what's going on with the first image but near the end the second two look reasonable. Using an adaptive optimization technique could make the optimization more stable and I just opened issue #9 if anybody's interested in implementing this, it should just be a few lines of code. It's described in Algorithm 1 of this paper and there are plenty of references of how to implement it in Python, and I like using the Torch implementation for reference.
-Brandon.
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benstaf
commented on July 24, 2024
The first image is computer-generated
The other two are more 'natural'. So this image can fool humans into seeing a face, but not the GAN. Can you explain why?
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Related Issues (20)
- Key generator/g_h5/w not found in checkpoint HOT 3
- NotFoundError (see above for traceback): Key generator/g_h6/w not found in checkpoint HOT 2
- ValueError: setting an array element with a sequence. HOT 2
- Getting "in complete assert(isLoaded) AssertionError" when running complete.py on my own checkpoints directory HOT 1
- error while using complete.py
- there is nothing in the folder “sample” after 25 epoch HOT 6
- Why data in one epoch didn't shuffle?
- Key discriminator/d_bn0/beta not found in checkpoint? HOT 8
- OOM error when training data
- NotFoundError (see above for traceback): Key discriminator/d_bn0/beta not found in checkpoint HOT 1
- conditional infilling
- what is the usage of the lowres parameter， why the contextual_loss includes this part
- Bug in code that computes the weighs based on the mask
- Cannot feed value of shape (64, 64, 64) for Tensor 'real_images:0', which has shape '(?, 64, 64, 3)' HOT 1
- Final result after 1000 epochs HOT 2
- how to changing image_size HOT 1
- Sorry But I don't know what exactly mean 'delete the checkpoint directory to train a new model' HOT 1
- Issues while training the model HOT 1
- Training with existing model in checkpoint directory
- Changing image_size error HOT 1
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