34 datasets found

The dataset used for training and testing the Conditionally-Independent Pixel Synthesis (CIPS) generator.

Flickr-Faces-HQ contains 70,000 face images at 1024 × 1024 resolution, which were originally crawled from Flickr, manually checked to discard low-quality samples, and then...

The dataset used in the paper is a large-scale dataset containing 1,000 text prompts and over 5,000 images associated with image captions, local descriptions, and mask annotations.

The dataset used in the paper is a set of images from the AFHQ dataset, containing 1.5K images of different animal faces.

The dataset is used for image generation and editing tasks.

The dataset is used for text-guided image inpainting task.

The MS COCO validation dataset is used for text-guided image inpainting task.

A dataset for instruction-guided image editing.

A dataset for instruction-guided image editing.

The Non-Hair-FFHQ dataset is a high-quality image dataset that contains 6,000 non-hair-FFHQ portraits.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the DragBench dataset for evaluation.

LazyDiffusion is a novel transformer-based encoder-decoder architecture for interactive image generation and editing using a diffusion model.

The dataset used for image editing and scene editing tasks.

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...