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arXiv · 2512.17796

CustomX: Unified Character, Action, and Scene Customization in Video World Models

Yitong Wang·Fangyun Wei·Hongyang Zhang·Bo Dai·Yan Lu
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Abstract

Recent advances in world models have greatly enhanced interactive environment simulation. Existing methods mainly fall into two categories: (1) static world generation models, which construct 3D environments without active agents, and (2) controllable-entity models, which allow a single entity to perform limited actions in an otherwise uncontrollable environment. In this work, we introduce CustomX, leveraging the realism and structural grounding of static world generation while extending controllable-entity models to support user-specified characters capable of performing open-ended actions. Users can provide a 3DGS scene and a character, then use natural language to direct the character to perform diverse behaviors, ranging from basic locomotion to object-centric interactions, while freely exploring the environment. CustomX synthesizes temporally coherent video clips that preserve visual fidelity with the provided scene and character, formulated as a conditional autoregressive video generation problem. Built upon a pre-trained video generator, our training strategy significantly enhances motion dynamics while maintaining generalization across actions and characters. Our evaluation covers a broad range of aspects, including visual quality, character consistency, action controllability, and long-horizon coherence.

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Yitong Wang, Fangyun Wei, Hongyang Zhang, Bo Dai, Yan Lu. 2025-12-18. CustomX: Unified Character, Action, and Scene Customization in Video World Models. https://arxiv.org/abs/2512.17796

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