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Conditional Adversarial Generative Flow
Conditional Adversarial Generative Flow for Controllable Image Synthesis -
LLVIP: Visible-Infrared Paired Dataset for Low-Light Vision
The LLVIP dataset contains registered images in two domains of visible light and infrared light. -
ObjectScans
A dataset of 121 video sequences of common household objects, captured by GoPro Hero9 action cameras at 30 FPS and 1920 × 1080 resolution. -
HPSv2 dataset
The HPSv2 dataset is a text-image pair dataset containing 3200 prompts and their corresponding images. -
Mixture of 25 2D-Gaussian Distributions
The dataset used in the Discriminator Rejection Sampling (DRS) algorithm, consisting of a mixture of 25 2D-Gaussian distributions. -
LSUN bedroom and church-outdoor datasets
The dataset used in the paper is LSUN bedroom and church-outdoor datasets (64×64). -
Stable Diffusion Model (SDM) v1.5
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used the Stable Diffusion Model (SDM) v1.5. -
Alphabet SCM, Voronoi SCM, Flag SCM, VT-SOM
The dataset used to evaluate the capacity of a denoising diffusion probabilistic model to reproduce spatial context in medical imaging. -
CUB dataset
The CUB dataset is a large collection of images of birds, each image is a 299x299 RGB image, and there are 11,778 training images and 5,994 testing images. -
SYRAC: SYNTHESIZE, RANK, AND COUNT
Crowd counting is a critical task in computer vision, with several important applications. However, existing counting methods rely on labor-intensive density map annotations,... -
Self-built dataset for fake image detection
A high-quality and diverse dataset for evaluating the effectiveness of fake image detection methods, including 6 GAN and 6 diffusion models, to generalize unknown forgery... -
Domain-Adversarial Training of Neural Networks
The UPNA Synthetic dataset consists of 12 videos for each of 10 subjects; 120 videos in total with 38,800 frames. -
Acquiring Linear Subspaces for Face Recognition under Variable Lighting
The YaleFace dataset consists of gray-scale frontal face images of 38 subjects under 64 illumination conditions. -
OpenGAN: Open Set Generative Adversarial Networks
OpenGAN: Open Set Generative Adversarial Networks -
Dataset for CT-to-MR image synthesis
The dataset introduced in [8], which is publicly available, is used for performance evaluation. It consists of 367 paired CT and MR images with the size of 512×256. -
Generative Model Evaluation
The dataset used in this paper for generative model evaluation, consisting of 4.1M images from 41 state-of-the-art generative models spanning diffusion models, GANs, variational... -
LSUN Bedrooms
The dataset used in the paper is the LSUN bedrooms dataset, a large-scale image dataset.
