podgorskiy/ALAE
[CVPR2020] Adversarial Latent Autoencoders
This project helps visual artists, designers, and researchers in computer graphics to generate and manipulate realistic images, particularly faces, at high resolutions. You provide real images, and it can reconstruct them, generate entirely new ones, or even allow you to combine specific stylistic elements from different images. This is for professionals who work with image synthesis, creative content generation, or advanced visual effects.
3,526 stars. No commits in the last 6 months.
Use this if you need to generate high-resolution, photorealistic images, reconstruct real images accurately, or perform advanced style manipulation on existing images.
Not ideal if you primarily need to classify images or perform standard image recognition tasks, as its core strength lies in generation and manipulation.
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Python
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Jan 23, 2021
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