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title: Pushing the Boundaries with Real-Time Video Inpainting
description: A team built a real-time video inpainting system capable of erasing objects from live video streams at over 25fps. They rejected diffusion models due to...
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# Pushing the Boundaries with Real-Time Video Inpainting

**[Software Mansion](https://daily.dev/sources/swmansion)** · 5 min read · 0 upvotes · 0 comments

## Summary

A team built a real-time video inpainting system capable of erasing objects from live video streams at over 25fps. They rejected diffusion models due to computational cost and instead used a lightweight spatial-temporal transformer architecture based on DSTT, enhanced with SWIN transformers and Conditional Positional Encodings. Object masks are generated using RTMDet, and inference is accelerated with torch.compile for ~20% speedup. To compensate for the low operating resolution (480x288), full-resolution frames are cached client-side and only masked regions are replaced with inpainted content, significantly improving perceived quality.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://swmansion.com/blog/pushing-the-boundaries-with-real-time-video-inpainting-35cd82c624fb>

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Tags: [#deep-learning](https://daily.dev/tags/deep-learning), [#computer-vision](https://daily.dev/tags/computer-vision)

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