sagiebenaim/OneShotTranslation
Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018
This project helps graphic designers, artists, and researchers rapidly transform the style of images. You provide a collection of images in one style (e.g., photos of real-world objects) and a single example image in a target style (e.g., a hand-drawn sketch), and it outputs your original images redrawn in the target style. It's ideal for visual creatives and researchers exploring artistic effects or data augmentation.
141 stars. No commits in the last 6 months.
Use this if you need to translate an entire dataset of images into a new visual style, especially when you only have one example of the target style.
Not ideal if you need pixel-perfect, highly accurate image-to-image translation for tasks like medical imaging or autonomous driving.
Stars
141
Forks
17
Language
Python
License
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Category
Last pushed
Apr 06, 2019
Commits (30d)
0
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