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GitHub - bgavran/Improved_WGAN: Implementation of the "Improved Training of Wasserstein GANs" paper...
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A new hybrid model for enhancing low-dose CT images using EfficientNetV2 and WGAN-GP: a multi-loss...
Our EfficientNetV2-WGAN-GP-based method provides a robust solution for LDCT image denoising, significantly improving image clarity while maintaining diagnostic...
https://openreview.net/forum?id=CVbDSCQN4P
Bridging the Gap Between Coulomb GAN and Gradient-regularized WGAN | OpenReview
We analyze the optimization problem in Coulomb GAN through variational calculus. The optimal Coulomb GAN discriminator arises naturally as the Green's function...
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WGAN: A Guide to Wasserstein Generative Adversarial Networks | DigitalOcean
Learn about WGAN (Wasserstein Generative Adversarial Networks), how they work, advantages over traditional GANs, and applications in deep learning.
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