arXiv 2610.22744 · cs.CV · 2026-10-15
OmniXRef: A Unified Framework for Multimodal Multi-Reference Video Editing
Xiaoyan Cong, Tianyu Wang, Hyeonho Jeong, Zhifei Zhang, Yuqian Zhou, Yijun Li, Shaoteng Liu, Zhe Lin 等 10 人
Adobe Research
在最新榜 #387 本站收录于 2026-10-24
一句话要点
Adobe Research 的 OmniXRef 是多模态、多参考的视频编辑框架:可以组合任意数量的文字指令、图像参考(如人物外观)和视频参考(如镜头运动)来改原视频;用参考库接口和 R^2-RoPE 支持更多参考,模型是单流扩散 Transformer。
Adobe Research's OmniXRef is a unified multimodal multi-reference video editing framework that combines variable numbers of text instructions, image references and video references; a reference-bank interface with R^2-RoPE generalizes to more references, and a single-stream diffusion transformer processes source and references together.
阅读 arXiv 原文 PDF Hugging Face 讨论 项目页
主题与学科
同主题:视觉生成
- StreamEval: Evaluating Interactive Streaming Video Generation Models ▲649
- MaLiang-Harness: A Programmable Path to Image and Video Generation ▲367
- Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation ▲364
- DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models ▲325
- Making MLLM Latents Matter: Factor-Aware Predictive Learning for Cinematic Video Generation ▲200
同主题:多模态
- MJev-Spatial: System One Spatial Intelligence via Native Attention Matching 2026-10-15 · ▲556
- Omni-IO Skills: Harnessing Your Agent Omni-Native 2026-09-25 · ▲485
- LoopVL: Recurrent Visual Intelligence 2026-09-29 · ▲417
- VideoJev: System One Model for Video Understanding and Interaction 2026-10-13 · ▲375
- S-Space: Exploring Spatial Workspace in Multimodal Language Models 2026-10-09 · ▲270
数据说明
元数据来自 arXiv API(已核实);点赞来自 Hugging Face 每日论文;引用来自 Semantic Scholar。最近刷新 2026-10-26。
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