-
HpGAN: Sequence Search with Generative Adversarial Networks
HpGAN is a novel method to search desired sequences algorithmically using generative adversarial networks (GAN). -
Procedural 3D Terrain Generation using Generative Adversarial Networks
A dataset of procedurally generated satellite images and their corresponding DEMs. -
DeepSVG: A hierarchical generative network for vector graphics animation
A hierarchical generative network for vector graphics animation. -
Design What You Desire: Icon Generation from Orthogonal Application and Theme...
A novel icon generation task where icons are required to be generated conditioned on both app and theme labels. -
Circular Signal with Noise and Amplitude Variation
The dataset used in the paper is a set of true images and simulated images produced by a custom simulation technique. The true images are experimental data images, and the... -
First-Order Polynomial Images
The dataset used in the paper is a set of true images and simulated images produced by a custom simulation technique. The true images are experimental data images, and the... -
Progressive growing of GANs
Progressive growing of GANs for improved quality, stability, and variation. -
Generative Adversarial Networks
Generative Adversarial Networks (GANs) consist of two networks: a generator G(z) and a discriminator D(x). The discriminator is trying to distinguish real objects from objects... -
A Style-Based Generator Architecture for Generative Adversarial Networks
A style-based generator architecture for generative adversarial networks.
