%0 Journal Article %1 pop00002 %A Mondal, T %A Trang, LE %A Coustaty, M %A Ogier, JM %D 2020 %I arxiv.org %J arXiv preprint arXiv … %K imported %T Performance Evaluation of Deep Generative Models for Generating Hand-Written Character Images %U https://arxiv.org/abs/2002.11424 %X There have been many work in the literature on generation of various kinds of images such as Hand-Written characters (MNIST dataset), scene images (CIFAR-10 dataset), various objects images (ImageNet dataset), road signboard images (SVHN dataset) etc …

@article{pop00002, abstract = {There have been many work in the literature on generation of various kinds of images such as Hand-Written characters (MNIST dataset), scene images (CIFAR-10 dataset), various objects images (ImageNet dataset), road signboard images (SVHN dataset) etc …}, added-at = {2020-04-06T14:23:04.000+0200}, author = {Mondal, T and Trang, LE and Coustaty, M and Ogier, JM}, biburl = {https://www.bibsonomy.org/bibtex/26e501820aad8bd63f0ef932120bf4bdc/mcoustat}, interhash = {c214aa321f1e6baa18c2cb0f90ee37c5}, intrahash = {6e501820aad8bd63f0ef932120bf4bdc}, journal = {arXiv preprint arXiv …}, keywords = {imported}, note = {Query date: 2020-04-06 14:08:02}, publisher = {arxiv.org}, timestamp = {2020-04-06T14:23:04.000+0200}, title = {Performance Evaluation of Deep Generative Models for Generating Hand-Written Character Images}, url = {https://arxiv.org/abs/2002.11424}, year = 2020 }