Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zheng, Haiyong"'
Current approaches have made great progress on image-to-image translation tasks benefiting from the success of image synthesis methods especially generative adversarial networks (GANs). However, existing methods are limited to handling translation ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3003a327ca1a98bcfb60b7840757c0f3
http://arxiv.org/abs/1901.10895
http://arxiv.org/abs/1901.10895
We propose an image steganographic algorithm called EncryptGAN, which disguises private image communication in an open communication channel. The insight is that content transform between two very different domains (e.g., face to flower) allows one t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2912397fcbc2036db129d0d8eea67e0
The aim of this work is learning to reshape the object in an input image to an arbitrary new shape, by just simply providing a single reference image with an object instance in the desired shape. We propose a new Generative Adversarial Network (GAN)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d7bd219271d2fd6d380db56c69d33ed
Recently, image-to-image translation has been made much progress owing to the success of conditional Generative Adversarial Networks (cGANs). And some unpaired methods based on cycle consistency loss such as DualGAN, CycleGAN and DiscoGAN are really
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74e051599e4fec3d57e8e4710a40df41
http://arxiv.org/abs/1711.10735
http://arxiv.org/abs/1711.10735
Generative Adversarial Networks are proved to be efficient on various kinds of image generation tasks. However, it is still a challenge if we want to generate images precisely. Many researchers focus on how to generate images with one attribute. But
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0df6e1244fbe670c6a094d9f5090a48e
http://arxiv.org/abs/1711.10742
http://arxiv.org/abs/1711.10742
Image-to-image translation has been made much progress with embracing Generative Adversarial Networks (GANs). However, it's still very challenging for translation tasks that require high quality, especially at high-resolution and photorealism. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72bc9ef0e2c6480293fc03046e3412b6
http://arxiv.org/abs/1711.09554
http://arxiv.org/abs/1711.09554