34 datasets found

IXI contains coil-combined magnitude images for T1-, T2- and PD-weighted acquisition emulated as single-coil data.

U2MRPD is a novel unsupervised framework for the reconstruction of undersampled MRI data.

The dataset used in the paper is a counterfactual examples (CEs) dataset, which is generated using a diffusion model. The dataset consists of images from the CIFAR10 and SVHN...

A dataset of Saudi license plates, both in low and high resolutions, used for training a diffusion model for license plate super-resolution.

DiffuRec: A Diffusion Model for Sequential Recommendation

The dataset used in the paper for training and testing the Denoising Diffusion Implicit Models.

The dataset used in this paper is a diffusion model for image generation.

The UniMIE dataset is used for medical image enhancement. It contains 15 medical image datasets with 13 medical image modalities.

Dynamics-Guided Diffusion Model for generating manipulator geometry designs for unseen tasks

The dataset used in the paper is a dataset of 3D shapes generated using a diffusion model.

Rainfall forecasting dataset used in the paper to evaluate the proposed Two-stage Rainfall-Forecasting Diffusion Model (TRDM)

Rainfall forecasting dataset used in the paper to evaluate the proposed Two-stage Rainfall-Forecasting Diffusion Model (TRDM)

The dataset used in the paper for 4D content creation from monocular videos.

The paper proposes a Class-Prototype conditional Diffusion Model (CPDM) for continual learning with generative replay. The model uses a diffusion-based generator and a...

FuXi-Extreme model uses ERA5 dataset for training and evaluation.

Continuous-Time Dynamic Graph (CTDG) precisely models evolving real-world relationships, drawing heightened interest in dynamic graph learning across academia and industry....

Diff-CAPTCHA: An Image-based CAPTCHA with Security Enhanced by Denoising Diffusion Model

Text-to-motion synthesis aims to generate 3D human motion that not only precisely reflects the textual description but reveals the motion details as much as possible.

DiffusionEngine is a scalable and efficient data engine for object detection that generates high-quality detection-oriented training pairs in a single stage.

UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures