StreamingSwap
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- StreamingSwap brings real-time face swapping to 10-minute video streams
A paper submitted to arXiv on 19 October 2026 presents StreamingSwap, a reference-guided flow-matching framework for real-time streaming video face swapping. The authors introduce a Joint Rec-ID Loss that balances explicit identity supervision and latent reconstruction according to noise level, plus Face-RoI Generation and Short-Context Rollout Training that cut the spatial tokens and temporal context needed per frame. They also release HumanFaceVid, described as 1,000 hours of cinematic training data with evaluation sets of 200 short and 200 long videos, and report competitive identity transfer and visual quality at 20 FPS on a single NVIDIA RTX 4090 with stable generation over videos up to 10 minutes long; those results are self-reported, with no independent measurement supplied.
Hugging Face · Papers · 🔥 0
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