rish-16/CycleGANsformer

Unpaired Image-to-Image Translation with Transformer-based GANs in PyTorch [WIP]

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This tool helps researchers and deep learning practitioners experiment with converting images from one visual domain to another, even when there are no direct pairs of 'before' and 'after' images. For example, you can transform photos of horses into zebras, or turn a landscape photo into a painting. You provide two collections of images (e.g., many horse photos and many zebra photos), and it learns to translate between them, producing new images in the target style or domain.

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Use this if you are a researcher or advanced practitioner exploring novel methods for unpaired image-to-image translation, particularly with transformer-based GANs.

Not ideal if you need a production-ready solution for general image manipulation, require precise control over specific object transformations, or are not comfortable with deep learning model training.

deep-learning-research computer-vision generative-modeling image-synthesis style-transfer-research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 14 / 25

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65

Forks

9

Language

Python

License

MIT

Last pushed

Jul 29, 2021

Commits (30d)

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