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Synthesized Images using Metasurface-Based Architecture
The dataset used in the paper is a collection of images synthesized using the proposed metasurface-based architecture. -
GAN Training Dataset
The dataset used for training the generative adversarial network (GAN) model. -
DrawTextExt
The dataset is used to train the GlyphDraw model for visual text generation. It contains 792k images with 3.3M characters in images and more than 4.8k common unique Chinese... -
Conditional Adversarial Generative Flow
Conditional Adversarial Generative Flow for Controllable Image Synthesis -
CADS: Unleash the diversity of diffusion models through condition-annealed sa...
CADS: Unleash the diversity of diffusion models through condition-annealed sampling. -
High-resolution image synthesis with latent diffusion models
High-resolution image synthesis with latent diffusion models. -
Dsprites and 3DShapes
The dataset used in the paper is Dsprites and 3DShapes, which are popular disentanglement evaluation datasets. -
LLVIP: Visible-Infrared Paired Dataset for Low-Light Vision
The LLVIP dataset contains registered images in two domains of visible light and infrared light. -
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix
The Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix dataset contains 4870 registered image pairs, covering a variety of HER2 expression levels. -
LSUN Conference Rooms
LSUN Conference Rooms -
ObjectScans
A dataset of 121 video sequences of common household objects, captured by GoPro Hero9 action cameras at 30 FPS and 1920 × 1080 resolution. -
New Dataset for Zero-Shot Performance Comparison of Spatial Conditions
The dataset used in the paper is a new dataset for zero-shot performance comparison of spatial conditions. -
Denoising Diffusion Implicit Models
The dataset used in the paper for training and testing the Denoising Diffusion Implicit Models. -
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. -
SynArtifact-1K
SynArtifact-1K is a comprehensive dataset of synthetic images with artifact annotations, constructed to fine-tune Vision-Language Model (VLM) as artifact classifier. -
Fluorescein Angiography dataset
The dataset is used for training and testing the proposed VTGAN model for fundus-to-angiogram synthesis and disease prediction.
