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High-Fidelity Image Generation With Fewer Labels
High-fidelity image generation with fewer labels -
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. -
S6-L, S6-SM1, S6-SM2, S6-SM3, S7-L, S7-SM4
A dataset of live and spoof fingerprint images for training and testing generative models. -
S1-L, S2-L, S2-L-1, S2-L-2, S2-L-2-1, S2-L-2-2, S3-L, S4-L, S5-L
A dataset of live and spoof fingerprint images for training and testing generative models. -
GAN Training Data
The dataset used for training the Generative Adversarial Networks (GANs) for Super Mario Bros. and The Legend of Zelda. -
Student’s t-Generative Adversarial Networks
Generative Adversarial Networks (GANs) have a great performance in image generation, but they need a large scale of data to train the entire framework, and often result in... -
Liver Lesion Classification
Liver lesion dataset for classification using synthetic data augmentation -
2D Mixture of 8 Gaussians
The dataset used in the paper is a 2D mixture of 8 Gaussians evenly arranged in a circle. The generator has to search for 2D submanifolds in a 3D space. -
Training Generative Adversarial Networks via Primal-Dual Subgradient Methods
Synthetic data, 2D mixture of Gaussian data, MNIST dataset, CIFAR-10 dataset -
Generative Adversarial Nets
Generative adversarial nets (GANs) are a class of deep learning models that consist of two neural networks: a generator and a discriminator. -
Robust Generative Adversarial Network
Generative adversarial networks (GANs) are powerful gen-erative models, but usually suffer from instability and generalization problem which may lead to poor generations. -
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... -
2D submanifold mixture of Gaussians in 3D
The dataset used in the paper is a 2D submanifold mixture of seven Gaussians arranged in a circle and embedded in 3D space. -
GAN datasets
The dataset used in this paper is a collection of images generated by different Generative Adversarial Networks (GANs). The dataset is used to evaluate the performance of GANs... -
Synthetic dataset for FARGAN
The dataset used in the paper is a synthetic dataset for testing the proposed Fake-As-Real GAN (FARGAN) method. -
Diverse Image Synthesis
Diverse Image Synthesis from Semantic Layouts via Conditional IMLE -
Dataset for Deepfake Detection and Recognition
A dedicated collection of images: real/pristine images collected from CelebA, FFHQ1, and ImageNet datasets and synthetic data generated by 9 different Generative Adversarial... -
Unpaired Image-to-Image Translation
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
