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; Srinath Sridhar; Soo Ye Kim

arXiv · 2610.22744

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·Srinath Sridhar·Soo Ye Kim

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Abstract

Creative intent in video editing can be expressed through text instructions (e.g., "remove the people"), image references (e.g., subject appearance), video references (e.g., camera movement), or a combination of the above. We introduce OmniXRef, a unified framework for multimodal multi-reference video editing that allows users to combine variable numbers of text, image, and video references to control diverse attributes of a source video. We first devise a unified input design with a reference-bank interface and introduce $R^2$-RoPE to support generalization to more references. Then our model, OmniXRef-Model, uses a single-stream diffusion transformer to jointly process the source video and multimodal context from an MLLM in an interleaved sequence. To address the scarcity of training data for video-reference editing, we construct OmniXRef-Data using synthesis pipelines for different editing tasks and combinations of references. We use curriculum learning to progressively increase task complexity and resolution. To support systematic evaluation of video as a control modality, we introduce OmniXRef-Bench, a benchmark for video-reference attribute transfer across Camera, Motion, Content, Style, and Visual Effects (VFX). Comprehensive evaluations show that our OmniXRef-Model outperforms task-specific baselines and commercial models.

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BibTeX RIS

Xiaoyan Cong, Tianyu Wang, Hyeonho Jeong, Zhifei Zhang, Yuqian Zhou, Yijun Li, Shaoteng Liu, Zhe Lin, Srinath Sridhar, Soo Ye Kim. 2026-10-15. OmniXRef: A Unified Framework for Multimodal Multi-Reference Video Editing. https://arxiv.org/abs/2610.22744

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