137 datasets found

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

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

Diffusion models for image synthesis

FashionSD-X: Multimodal Fashion Garment Synthesis using Latent Diffusion

The Synthetic HDC dataset is a collection of synthetic sharp images, blurred and distorted using the estimated forward model.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors compared their results with PLMS.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors compared their results with DPM++.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a 20-step DDIM sampler and a 13-step DDIM sampler.

The dataset used in this paper is Stable Diffusion 2, a popular diffusion model for image synthesis.

A large dataset of text-image pairs collected online.

A dataset of non-contrast CT images and their corresponding contrast-enhanced CT angiograms for abdominal aortic aneurysms

A dataset of synthetic photorealistic images for training and testing material-aware diffusion models

A custom dataset created by rendering RGB-D images using perspective projection from high-quality 3D models of people.

Synthesizing remote sensing imagery from land cover maps and auxiliary raster data

The dataset used in the paper is a large-scale paired dataset for training a NeRF-agnostic restorer. It consists of 8 virtual scenes, each with 400 images.

The dataset used in the paper is a large-scale paired dataset for training a NeRF-agnostic restorer. It consists of 8 different forward-facing scenes with 20-62 high-quality...

GANSketch dataset contains sketches and images for training and testing

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a few images of an individual with a set of corresponding attributes.

The proposed method, dubbed Dynamic Hyperpixel Flow, learns to compose hypercolumn features on the fly by selecting a small number of relevant layers from a deep convolutional...

Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence