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JoyAI-Video-Edit open-sourced for real-time interactive video editing · 4 sources tracked

By PulseAugur Editorial · [6 sources] ·

JoyAI-Video-Edit, a new 16-billion parameter autoregressive diffusion framework, has been open-sourced for real-time, open-ended video editing. This system allows users to edit videos interactively as they watch, moving beyond the traditional "create first, then edit" workflow. It achieves approximately 30 FPS for 720p video editing on a single NVIDIA B200 GPU by employing techniques like chunk-wise autoregressive adaptation and Source-Anchored Distribution Matching Distillation to maintain temporal consistency and source fidelity. AI

IMPACT Enables interactive, real-time video editing, potentially changing content creation workflows and user interaction with video.

RANK_REASON The cluster describes the release of a research paper and open-sourcing of a model, which falls under research.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 6 sources. How we write summaries →

JoyAI-Video-Edit open-sourced for real-time interactive video editing · 4 sources tracked

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model release, product
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COVERAGE [6]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    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…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    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…

  3. arXiv cs.CV TIER_1 English(EN) · Ziyun Zeng, Zixuan Wang, Yongsheng Yu, Hang Hua, Jiebo Luo ·

    VideoArgus: Agentic Rubric-Grounded Unified Evaluation for Video Generation and Editing

    arXiv:2608.05485v1 Announce Type: new Abstract: Evaluating generated videos remains challenging because existing benchmarks rely on fixed evaluation content, cover only a subset of generation and editing settings, and provide limited evidence for their scores. We introduce VideoA…

  4. arXiv cs.CV TIER_1 English(EN) · Chenxuan Miao, Yutong Feng, Yi Lu, Yunfeng Yan, Donglian Qi, Shiwei Zhang, Yu Liu, Xi Chen, Hengshuang Zhao ·

    OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing

    arXiv:2608.05049v1 Announce Type: new Abstract: Instruction-based video editing (IVE) is an emerging field with broad applications, yet evaluating editing models remains challenging. Existing benchmarks suffer from two major limitations: limited task coverage inherited from image…

  5. arXiv cs.CV TIER_1 English(EN) · Yicheng Xiao, Wenxun Dai, Xinran Qin, Lin Song, Maoquan Zhang, Hang Xu, Yukang Chen, Yitong Li, Guohui Zhang, Yuan Zhang, Xuying Zhang, Tommy Zhang, Jianlong Yuan, Peihao Li, Shuai Lu, Siming Fu, Chuyang Zhao, Xin Han, Jie Huang, Wenbo Li, Guoqing Ma, We… ·

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

    arXiv:2608.03974v1 Announce Type: new Abstract: 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 dif…

  6. 36氪 (36Kr) TIER_1 中文(ZH) ·

    JD: Open-sources Real-time Streaming Video Editing Model JoyAI-Video-Edit

    36氪获悉，据京东黑板报消息，8月5日，京东宣布开源自研的实时流式视频编辑模型JoyAI-Video-Edit。据介绍，用户可以一边观看视频，一边修改人物与场景，让视频创作从“先有素材再修改”变为可实时互动编辑。

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