Home
Information

AI Dataset Collection

Large-scale datasets and benchmarks for training, evaluating, and testing models to measure

Tools

Intelligent Document Recognition

Comprehensive Text Extraction and Document Processing Solutions for Users

AI Tutorial

deligan

Public

This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.

Creat2017-06-06T20:26:03
Update2024-11-24T20:38:28
111
Stars
0
Stars Increase