12 datasets found

The dataset used in the paper is a toy dataset consisting of 2D images.

The dataset used in the paper is a Anime128x128 dataset.

The proposed model is built on the theoretical analysis presented in [30,14]. Similar to the ARAE [14], our model provides flexibility in learning an autoencoder from the input...

The dataset used in the paper is not explicitly described, but it is mentioned that it is a generative model dataset.

The proposed framework generates JPEG compressed images using generative adversarial networks.

Recently, with the rapid development of artificial intelligence, image generation based on deep learning has advanced significantly. Image generation based on Generative...

A style-based generator architecture for generative adversarial networks.

Autoregressive models recently achieved comparable results versus state-of-the-art Generative Adversarial Networks (GANs) with the help of Vector Quantized Variational...

The dataset used for training and validation of the proposed approach to combine semantic segmentation and dense outlier detection.

This dataset is used in the paper to demonstrate the effectiveness of the GANSpace technique.

The dataset used in the paper for training and testing the proposed method for detecting, attributing and localizing GAN generated images.

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...