AnchorWorld: Embodied Egocentric World Simulation with View-based Evolution Customization
On the map: World models → Video-generation world models and simulators
Abstract (arXiv)
Despite being a pivotal frontier, interactive world modeling remains underexplored in terms of the versatile controllability required by practical scenarios. To bridge this gap, we present AnchorWorld, a framework that advances egocentric simulation through enhanced interaction integrity and a flexible mechanism for world customization. First, we utilize 3D human motion as the primary interaction modality. To complement the out-of-view or truncated body parts in egocentric views, we introduce an auxiliary training supervision that incorporates exogenous viewpoints decoupled from the agent's first-person sensorium. It allows the model to observe the agent's full-body positioning relative to the environment, facilitating a more robust spatial grounding of human-world interactions. Furthermore, we propose a simple yet effective mechanism for customizing self-evolving worlds. This is achieved by defining anchor views within a unified world coordinate system, coupled with textual descriptions dictating the dynamic evolution of local scenes. Experimental results show that AnchorWorld significantly outperforms state-of-the-art baselines, while ablation studies validate the effectiveness of our key designs. Notably, our customization scheme exhibits promising spatio-temporal geometric consistency and adheres strictly to the prescribed evolutionary dynamics.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Placed in Video-generation world models and simulators, one of 11 directions in World models. Builds on 39 of its 63 references that are in the map. First posted on arXiv 5 Jun 2026.
Builds on
39 of 63 references.
Closest ancestors · 10
Same direction, newest first
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- 2025AdaViewPlanner: Adapting Video Diffusion Models for Viewpoint Planning in 4D Scenes12 Oct
- 2025Wan: Open and Advanced Large-Scale Video Generative Models26 Mar
- 2022Flow Matching for Generative Modeling6 Oct
Other references · 29
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