AI RESEARCH
Toward Memory-Aided World Models: Benchmarking via Spatial Consistency
arXiv CS.CV
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ArXi:2505.22976v2 Announce Type: replace The ability to simulate the world in a spatially consistent manner is a crucial requirements for effective world models. Such a model enables high-quality visual generation, and also ensures the reliability of world models for downstream tasks such as simulation and planning. Designing a memory module is a crucial component for addressing spatial consistency: such a model must not only retain long-horizon observational information, but also enables the construction of explicit or implicit internal spatial representations.