GeNeVA_datasets

Image dataset generator

Scripts to generate datasets for an image generation task using Generative Adversarial Networks and deep learning techniques

Scripts to generate the CoDraw and i-CLEVR datasets used for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"

GitHub

37 stars
24 watching
9 forks
Language: Python
last commit: over 1 year ago
chatpaintercodrawcomputer-visiongangenerative-adversarial-networksgenerative-neural-visual-artistgenevageneva-datasetsgeneva-gani-clevriccviccv-2019iccv2019interactive-image-generationkeep-drawing-itrecurrent-gantell-draw-repeat

Related projects:

Repository Description Stars
dmitryulyanov/age This repository provides code for training Generative Adversarial Networks (GANs) for various image datasets, including face generation. 285
reedscot/icml2016 Generates synthetic images from text descriptions using a Generative Adversarial Network (GAN) 913
casualganpapers/make-a-scene PyTorch implementation of a scene-based text-to-image generation system with human priors using Generative Adversarial Networks and semantic segmentation 333
jcjohnson/cnn-vis This project enables users to generate images using convolutional neural networks (CNNs) and visualize their activations. 496
cs-chan/artgan A software framework for generating art-inspired images using deep learning techniques 411
gwgundersen/dpcca Develops a method to learn shared latent structure between biomedical images and gene expression data 25
jolibrain/joligen An integrated framework for training custom generative AI models 244
karoly-hars/gan_image_colorizing This project explores image colorization using generative adversarial networks on the CIFAR10 dataset. 11
ashual/scene_generation A PyTorch implementation of a deep learning-based method for generating interactive scenes with specified object attributes and relations 187
google-research/xmcgan_image_generation This implementation enables text-to-image generation by leveraging cross-modal contrastive learning. 98
nvidia/dataset_synthesizer Generates synthetic images and associated data for training deep learning models 573
dribnet/portrain-gan A Python implementation of a Generative Adversarial Network (GAN) model used to generate portraits from latent codes. 40
jayleicn/animegan A PyTorch implementation of Generative Adversarial Networks for anime face drawing 1,280
iigroup/mm-celeba-hq-dataset A large-scale dataset for training and evaluating algorithms for text-driven face generation and understanding tasks. 220
kohjingyu/gill A software framework for generating images and text using large language models 430