#InstaGAN Excels in Instance-Aware Image-To-Image Translation

https://medium.com/syncedreview/instagan-excels-in-instance-aware-image-to-image-translation-64fb7d0344ae

#مقاله

یک کار جدید Image to image Translation
https://t.me/cvision/892

مقاله:
https://arxiv.org/pdf/1812.10889.pdf

کد:
https://github.com/sangwoomo/instagan

The paper #InstaGAN: Instance-Aware Image-to-Image Translation has been accepted by the respected International Conference on Learning Representations (#ICLR) 2019, which will take place this May in New Orleans, USA.


This new research is based on #CycleGAN, a GAN variant which can learn to translate images without paired training data to overcome the limitations of one-by-one pairing of #pix2pix in image translation. CycleGAN can automatically translate two given unordered image sets X and Y, but it cannot encode instance information in an image. CycleGAN results however are not ideal when translating images involving specific features of the target. The InstaGAN system overcomes this problem and combines instance information from multiple task targets.

کارها و مطالب مشابه و مرتبط:
https://t.me/cvision/214
https://t.me/cvision/870
https-://t.me/cvision/863

#Image_to_Image_Translation #GAN

#سورس_کد
#InstaGAN
این مقاله نقص های cycleGan را رفع کرده.


#PyTorch implementation of "InstaGAN: Instance-aware Image Translation" (ICLR 2019)

code:
https://github.com/sangwoomo/instagan

paper:
https://arxiv.org/pdf/1812.10889.pdf

blog post:
https://t.me/cvision/892
بیشتر:
https://t.me/cvision/893

#Image_to_Image_Translation #GAN