Jan 13, 2022 · In this work, we propose a novel Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks (CAPGAN) as ...
In this work, we propose a novel Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks. (CAPGAN) as an ...
Jan 13, 2022 · In this work, we propose a novel Conditional Variational Autoencoder with Balanced Pre-training for Generative Adversarial Networks (CAPGAN) as ...
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Jan 13, 2022 · To this end, we propose a new framework, namely, Conditional Variational Autoen- coder with Balanced Pre-training for Generative Adversarial.
Mar 31, 2022 · It is a significant means to augment the data into balanced datasets. A novel data augmentation method named CVAEGAN-SM is proposed to address ...
Our method adopts variational inference augmented with normalizing flows and an adversarial training process, which improves the expressive power of generative ...
The two recent methods, Balancing GAN (BAGAN) and improved BAGAN (BAGAN-GP), are proposed as an augmentation tool to handle this problem and restore the balance ...
Our method adopts variational inference aug- mented with normalizing flows and an adversarial training process, which improves the expressive power of ...
Mar 1, 2024 · Conditional Variational Autoencoders (CVAEs) stand at the forefront of generative models, pushing the boundaries of what's possible with AI.
Jan 24, 2024 · However, challenges such as limited training data, high computational costs, and mode collapse issues persist. We propose combining a ...