76 datasets found

A dataset for analyzing and improving the image quality of StyleGAN.

The DeepFashion dataset is a large-scale dataset for person image synthesis, containing 101,966 pairs of images with different poses and clothing.

The dataset used in the paper is a high-resolution image synthesis dataset, which consists of images generated using a latent diffusion model.

Masked diffusion transformer is a strong image synthesizer.

Face aging is an ill-posed problem because multiple plausible aging patterns may correspond to a given input. Most existing methods often produce one deterministic estimation....

The dataset used for training and evaluation of the W¨urstchen model.

The dataset used for training and evaluation of the W¨urstchen model.

Progress in GANs has enabled the generation of high-res-olution photorealistic images of astonishing quality. StyleGANs allow for compelling attribute modification on such...

The dataset used in the paper is not explicitly mentioned, but it is implied to be a text-to-image dataset.

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

The dataset used for calibration during the quantization process.

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.

High-fidelity image synthesis using Generative Adversarial Networks (GANs).

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...

The LLFF dataset contains 8 forward-facing scenes. Following [19, 26, 35, 42], we take every 8-th image as the novel views for testing. The input views are evenly sampled across...