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SelectionGAN
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SelectionGAN

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

by Ha0Tang · GitHub
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adversarial-learningcomputer-graphicscomputer-visionPython
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Translate images from one viewpoint to another using advanced AI techniques.

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2026-07-202026-08-31
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[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

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.

Frequently asked questions

What is SelectionGAN?

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Is SelectionGAN open source?

SelectionGAN is an open-source project.

Is SelectionGAN free?

Yes. SelectionGAN is free and open source — you can use, modify and self-host it.

What language is SelectionGAN written in?

SelectionGAN is written mainly in Python.

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