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JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion

First seen · 8/5/2026, 01:40 AMLatest activity · 8/5/2026, 01:40 AM

JoyAI-Video-Edit is a 16B-parameter autoregressive diffusion framework for streaming video editing without future-frame access or a predefined duration. It combines chunk-wise autoregressive adaptation, Source-Anchored Distribution Matching Distillation (SA-DMD), and Long-Horizon Autoregressive Distillation to reduce train-inference mismatch, retain source details during two-step generation, and limit temporal drift. The authors report end-to-end 720p editing at approximately 30 FPS on one Nvidia B200 GPU, with results surpassing existing streaming editors and remaining competitive with strong offline systems. Code is publicly linked.

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Reporting Timeline

  1. AggregatorHuggingFace Daily Papers8/4, 04:00 AMnot independent
    JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion
  2. AggregatorarXiv8/5, 01:40 AMnot independentRepresentative
    JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion