Videos Can Be "Edited While Playing": JD Open-Sources Self-Developed JoyAI-Video-Edit Model with Globally Leading Metrics
JD open-sources its self-developed real-time streaming video editing model, JoyAI-Video-Edit, which supports editing while playing, achieves 30 frames per second processing at 720P resolution, and features globally leading metrics.
The JoyAI-Video-Edit released by JD is a real-time streaming video editing model. Its core capability lies in allowing users to modify characters and scenes while watching the video, changing the traditional "material first, edit later" creation workflow.
The key to real-time video editing lies in processing speed matching playback speed. Based on the fully self-developed JoyAI-Video architecture, the model achieves a processing capability of 30 frames per second at 720P resolution, solving issues of stuttering and latency.
As an open-source project, the model lowers the technical threshold for real-time video editing. It may drive video creation tools toward real-time interaction development, providing content creators with more efficient editing methods.
In the field of generative AI video, real-time performance has always been a technical challenge. JD's move demonstrates its progress in the application implementation of multimodal large models, helping to enrich the ecosystem scenarios for AI video editing.
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