Skip to content
English

Switch theme

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 and 2 more

Adobe Research

In latest · #387 Added on 2026-10-24

One-line takeaway

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.

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。

20HF upvotes
–GitHub stars
0Citations (Semantic Scholar)
32.1Buzz score

Read on arXiv PDF Hugging Face discussion Project page

About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

Data updated: Latest AI papers(UTC+8)