[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Translate images from one viewpoint to another using advanced AI techniques.
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SelectionGAN has 466 stars on GitHub. It has been forked 59 times. SelectionGAN is written mainly in Python. It has been in active development since 2019. Its main topics are adversarial-learning, computer-graphics, computer-vision, cross-view.
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
SelectionGAN is an open-source project.
Yes. SelectionGAN is free and open source — you can use, modify and self-host it.
SelectionGAN is written mainly in Python.
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