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IMO,there are tow ways to calculate Inception score of conditional GANs.
1. For every "condition", calculate a IS and Average them.
2. Sample "condition" from "real condition distribution" and gener…
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Is it possible to share the 31255 dataset?
31255 128p images will be not that big. It is very easy to upload it to Internet.
In fact we have some unique GAN training tricks and would like to help to…
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to foster community involvement - some richer sample code beyond MNIST should be tackled.
Generative Adversarial Networks is a hot topic amongst ML - and some sample code using swift should help enco…
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> “This is in fact the approach adopted by the conditional variant of DCGAN [8], a well-recognized class of network architectures for generative adversarial networks (GANs)” Is the reader expected to …
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Hello all,
I have seen that the input images are not normalized while feeding them to the generator or discriminator. Also, the discriminator_fake is getting values which are between - 1 and 1 and …
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My Top 3 is
1. Depth Estimation
> Demo can be easily shown with a webcam. It can be introduced as an approximation to depth image sensors as a cheap alternative. There are multiple datasets co…
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Hi Alexander Jung,
First of all, a very heartily thanks for this wonderful repository. I have seen that you are very aware of current research and you also have interest in image generation/augment…
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Hi,
I work with Conditional GANs and in the last days I'm working with Conditional Wasserstein GAN keras implementation, starting from this code:
[https://github.com/tdeboissiere/DeepLearningImpleme…
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I have trained a new RGAN model using MNIST data. What are the steps to generate images from the trained model?
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@joezuntz , @mdschneider , @rmjarvis , @esheldon , @EiffL (and feel free to loop anybody else in, I just pinged some people who participated in these discussions):
Just to close the loop on the que…