2 citations · 3 across the 3 of their papers we have counts for
3 papers
Structural Similarity: When to Use Deep Generative Models on Imbalanced Image Dataset Augmentation
Chenqi Guo, Fabian Benitez-Quiroz, Qianli Feng +1
Improving the performance on an imbalanced training set is one of the main challenges in nowadays Machine Learning. One way to augment and thus re-balance the image dataset is thro…
When do GANs replicate? On the choice of dataset size
Qianli Feng, Chenqi Guo, Fabian Benitez-Quiroz +1
Do GANs replicate training images? Previous studies have shown that GANs do not seem to replicate training data without significant change in the training procedure. This leads to…
Diamond in the rough: Improving image realism by traversing the GAN latent space
Jeffrey Wen, Fabian Benitez-Quiroz, Qianli Feng +1
In just a few years, the photo-realism of images synthesized by Generative Adversarial Networks (GANs) has gone from somewhat reasonable to almost perfect largely by increasing the…