NVlabs/MUNIT
A GAN-based model for translating images between domains without paired training data.
Not currently ranked — collecting fresh signals.
star history
MUNIT (Multimodal Unsupervised Image-to-Image Translation) is a deep learning model that learns to translate images from one domain to another using unsupervised training. It uses a conditional generative adversarial network architecture with separate encoders for content and style, enabling diverse translations from a single input image. The model was published at ECCV 2018 by NVIDIA researchers.
Frequently asked
- What is NVlabs/MUNIT?
- A GAN-based model for translating images between domains without paired training data.
- Is MUNIT open source?
- Yes — NVlabs/MUNIT is an open-source project tracked on heatdrop.
- What language is MUNIT written in?
- NVlabs/MUNIT is primarily written in Python.
- How popular is MUNIT?
- NVlabs/MUNIT has 2.7k stars on GitHub.
- Where can I find MUNIT?
- NVlabs/MUNIT is on GitHub at https://github.com/NVlabs/MUNIT.