Abstract: This research delves into the promising realm of Conditional Generative Adversarial Networks (CGANs) to explore their potential for crafting unique fashion item images. Leveraging the robust ...
Code for our paper Deep Classifier Mimicry without Data Access; Steven Braun, Martin Mundt, and Kristian Kersting; International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.
Abstract: In recent years, GANs have become substantial in computer vision. The goal of this paper is to explore the application of GANs for generating synthetic MNIST data and to compare the images ...
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