CNN-Filter-DB
gan-vae-pretrained-pytorch
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28 | 170 | |
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2.2 | 0.0 | |
11 months ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
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CNN-Filter-DB
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CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters (CVPR 2022 Oral)
Repo & dataset: https://github.com/paulgavrikov/CNN-Filter-DB
gan-vae-pretrained-pytorch
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DCGAN (CIFAR-10) Generating fake images is easy, but how to also output the class label (1 to 10) with the fake generated images?
I have this DCGAN model (https://github.com/csinva/gan-vae-pretrained-pytorch/tree/master/cifar10_dcgan) which generates fake Cifar-10 images. However I also want to get the intended class label output with the fake generated images. How can I do this? This model which I found only generates fake images but doesn't know what class the generated images belong to.
What are some alternatives?
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