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Few-Shot-Patch-Based-Training
C++

Few-Shot-Patch-Based-Training

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

by OndrejTexler · GitHub
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deep-learninggangenerative-adversarial-networkC++
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In plain words

Generate artistic video styles using a few examples with this training tool for image transformation.

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2026-07-202026-08-31
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The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Few-Shot-Patch-Based-Training has 625 stars on GitHub. It has been forked 107 times. Few-Shot-Patch-Based-Training is written mainly in C++. It has been in active development since 2020. Its main topics are deep-learning, gan, generative-adversarial-network, image-generation.

Frequently asked questions

What is Few-Shot-Patch-Based-Training?

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Is Few-Shot-Patch-Based-Training open source?

Few-Shot-Patch-Based-Training is an open-source project.

Is Few-Shot-Patch-Based-Training free?

Yes. Few-Shot-Patch-Based-Training is free and open source — you can use, modify and self-host it.

What language is Few-Shot-Patch-Based-Training written in?

Few-Shot-Patch-Based-Training is written mainly in C++.

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