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Generative Adversarial Source Separation
Generative source separation methods such as non-negative matrix factorization (NMF) or auto-encoders, rely on the assumption of an output probability density. Generative... -
Dual Attention GANs for Semantic Image Synthesis
The Dual Attention GANs for semantic image synthesis -
DualPyramidGenerativeAdversarialNetworks for Semantic Image Synthesis
The proposed DualPyramidGenerativeAdversarialNetworks for semantic image synthesis -
Synthetic EEG dataset
Synthetic EEG data generated using Generative Adversarial Networks -
Commodity prices dataset
Commodity prices dataset for testing state-of-the-art generative methods -
Hierarchical Exponential-family Energy-based (HEE) model on CIFAR10
The HEE model uses CIFAR10 to demonstrate its ability to generate high-quality images. -
Hierarchical Exponential-family Energy-based (HEE) model
The HEE model uses 2D synthetic datasets and FashionMNIST to validate its capabilities. -
EVGen: Adversarial Networks for Learning Electric Vehicle Charging Loads and ...
Real EV charging dataset from a large tech company campus -
Generative Landmarks
The proposed method is capable of learning landmarks for various body regions, including faces and hands. The training set consists of roughly 18k frames (about 10 minutes each)... -
Geometry-Contrastive Generative Adversarial Network (GC-GAN) for Facial Expre...
The paper proposes a Geometry-Contrastive Generative Adversarial Network (GC-GAN) for transferring facial expressions across different subjects. -
Density Estimation Using Real NVP
This dataset has no description
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Alternating Back-Propagation for Generator Networks
This dataset has no description
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Wasserstein GAN
This dataset has no description
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Flexible Prior Distributions for Deep Generative Models
The dataset induced prior distribution is learned using a secondary GAN named PGAN. This prior is then used to further train the original GAN. -
Toy 2D dataset
The dataset used in the paper is a toy dataset consisting of 2D images. -
Anime128x128 dataset
The dataset used in the paper is a Anime128x128 dataset. -
CelebA128x128 dataset
The dataset used in the paper is a CelebA128x128 dataset. -
MNIST, CIFAR10, and CelebA datasets
The dataset used in the paper is a MNIST dataset, a CIFAR10 dataset, and a CelebA dataset.
