19 datasets found

The dataset used in the paper for semantic control and manipulation of images using pre-trained diffusion models.

IMD2020: A large-scale annotated dataset tailored for detecting manipulated images

DEFACTO: Image and face manipulation dataset

SinIR is a reconstruction-based framework trained on a single natural image for general image manipulation.

Open-domain image manipulation using arbitrary text prompts

The dataset used in the paper is a large dataset of images, including FFHQ, AFHQ-Cat, and LSUN-Church.

The COCO-Glide dataset is a dataset consisting of 512 manipulated images of 256 × 256 px, created using a single method (GLIDE).

i-CLEVR is a synthetic dataset generated using the CLEVR engine. Each scene contains five image-instruction pairs. Starting from a background image, new objects are added...

CoDraw is a clip-art-like dataset collected using Amazon Mechanical Turk. The images consist of combinations of 58 unique objects (such as a boy, girl, and tree) on a static...

Text-guided image manipulation tasks have recently gained attention in the vision-and-language community. The GeNeVA task is a multi-turn text-conditioned image generation...

The dataset used in the paper for image manipulation detection

The dataset used in the paper for image manipulation detection

The dataset used in the paper for image manipulation detection

The dataset used in the paper for image manipulation detection

The dataset used in the paper for image manipulation detection

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

Deepfakes have become a critical social problem, and detecting them is of utmost importance. The FaceForensics++ dataset offers fake video datasets. Most of the detection...

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

The dataset used in the paper is a text-to-image diffusion model, specifically Stable Diffusion. The authors used this model to generate images from text prompts and evaluated...