67 datasets found

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a tunable GAN, called α-GAN, to generate samples from a distribution.

Synthetic EEG data generated using Generative Adversarial Networks

A large-scale brush handwriting Chinese font dataset with six styles and 15,000 high-resolution images.

HpGAN is a novel method to search desired sequences algorithmically using generative adversarial networks (GAN).

A dataset of procedurally generated satellite images and their corresponding DEMs.

This study proposes CSI2Image, a novel channel-state-information (CSI)-to-image conversion method based on generative adversarial networks (GANs).

The paper proposes a Geometry-Contrastive Generative Adversarial Network (GC-GAN) for transferring facial expressions across different subjects.

The dataset used for training the generative adversarial network (GAN) model.

A new method for building open-ended vocabularies of primitive visual concepts represented in a GAN's latent space.

A novel deep-learning approach based on generative adversarial networks to perform super-resolution reconstruction of sparse measurements.

A hierarchical generative network for vector graphics animation.

A novel icon generation task where icons are required to be generated conditioned on both app and theme labels.

Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. However,...

Generative adversarial networks (GANs) are increasingly attracting attention in the computer vision, natural language processing, speech synthesis and similar domains. However,...

The authors used a simple benchmark where the data has a high-dimensional Gaussian distribution.

Generative adversarial networks (GANs) are unsupervised Deep Learning approach in the computer vision community which has gained significant attention from the last few years in...

The dataset used in this paper is a GAN training dataset, which is a non-convex game.

The dataset used for training the Generative Adversarial Network (GAN) to generate Cosmic Microwave Background (CMB) temperature maps.

The dataset used in the paper is the W-space of StyleGAN2, which is a latent space of a generative adversarial network (GAN) model.

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...