SANA I2I: A Text Free Flow Matching Framework for Paired Image to Image Translation with a Case Study in Fetal MRI Artifact Reduction
📰 ArXiv cs.AI
SANA I2I is a text-free framework for paired image-to-image translation using a flow matching approach
Action Steps
- Learn a conditional flow-matching model in latent space using paired source-target images
- Map a target image distribution to another one using a conditional velocity field
- Apply the framework to paired image-to-image translation tasks, such as fetal MRI artifact reduction
- Evaluate the performance of SANA I2I on various image translation tasks
Who Needs to Know This
Computer vision engineers and researchers on a team can benefit from SANA I2I for image translation tasks, such as artifact reduction in medical imaging
Key Insight
💡 SANA I2I removes textual conditioning and relies on paired source-target images to learn a conditional flow-matching model
Share This
📸 Introducing SANA I2I: a text-free framework for paired image-to-image translation using flow matching! 💻
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