75 datasets found

The dataset used for training the diffusion model, containing 2M images.

The dataset used in the paper is the LSUN bedrooms dataset, a large-scale image dataset.

A dataset of real indoor scenes for training and testing material-aware diffusion models

A dataset of synthetic indoor scenes for training and testing material-aware diffusion models

A dataset of synthetic indoor scenes for training and testing material-aware diffusion models

The dataset used in the paper is a collection of one-hot vectors representing the position of a Dirac delta function.

The dataset used in the paper is a collection of grey-level images of centred disks with varying radii.

The De-Fake dataset is a detection and attribution of fake images generated by text-to-image diffusion models.

The DEFAKE dataset is a large-scale dataset for real-world face forgery detection, containing 6,000 images generated by Stable Diffusion.

The DiffusionFace dataset is a comprehensive dataset for diffusion-based face forgery analysis, covering various forgery categories, including unconditional and text-guided...

Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks

The dataset used for unpaired image-to-image translation tasks

The COCO-stuff dataset is a large-scale dataset for scene understanding, object detection, and image synthesis.

Diffusion models have recently exhibited remarkable abilities to synthesize striking image samples since the introduction of denoising diffusion probabilistic models (DDPMs).

Fine-grained sketch-based image retrieval (FG-SBIR) aims to minimize the distance between sketches and corresponding images in the embedding space.

A shoe-leg dataset to support the training of the shoe-wearing image generation module. It consists of tuples of raw images, shoe-only images and pose skeleton annotations.

A shoe-wearing dataset to support the training of each modules above. It consists of a wearable-area detection sub-dataset and a shoe-leg synthesis sub-dataset.

SVT is a very challenging dataset collected by Wang et al. from the Google Street View.

Diffusion noise feature: Accurate and fast generated image detection.

LSUN-Bedroom dataset is a large-scale dataset of images of bedrooms.