2D-Gaussian-Splatting
gan-vae-pretrained-pytorch
2D-Gaussian-Splatting | gan-vae-pretrained-pytorch | |
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1 | 1 | |
306 | 170 | |
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6.4 | 0.0 | |
about 1 month ago | almost 3 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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2D-Gaussian-Splatting
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[P] 2D Gaussian Splatting a great starting point for people who want to delve deeper
Github : https://github.com/OutofAi/2D-Gaussian-Splatting
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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