WorldCrafter: Consistent Video World Model with Implicit 3D-aware Memory

Hugging Face Daily Papers Papers

Summary

WorldCrafter is a video world model that learns a camera-queryable implicit 3D-aware memory for consistent and camera-controllable streaming scene exploration from a single image or text prompt.

Video world models enable interactive exploration of dynamic environments, yet struggle to respect prior observations over long horizons and across viewpoints. We present WorldCrafter, a video world model that learns a camera-queryable implicit 3D-aware memory for this purpose. The key insight is to let the requested viewpoint shape how multi-view evidence is compressed into the video generator's limited token budget. Trained jointly with the video generator, a memory encoder and pose-conditioned readout module integrate historical observations into a fixed set of target view-specific tokens before denoising, without explicit depth-based correspondences. By combining this memory with recent temporal context and few-step distillation, WorldCrafter enables streaming scene exploration from a single input image or text prompt. Experiments across static and dynamic scenes show substantial gains in long-horizon consistency and camera-control accuracy while preserving visual quality during minute-scale exploration.
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Abstract

Videoworldmodelsenableinteractiveexplorationofdynamicenvironments,yetstruggletorespectpriorobservationsoverlonghorizonsandacrossviewpoints.WepresentWorldCrafter,avideoworldmodelthatlearnsacamera-queryableimplicit3D-awarememoryforthispurpose.Thekeyinsightistolettherequestedviewpointshapehowmulti-viewevidenceiscompressedintothevideogenerator’slimitedtokenbudget.Trainedjointlywiththevideogenerator,amemoryencoderandpose-conditionedreadoutmoduleintegratehistoricalobservationsintoafixedsetoftargetview-specifictokensbeforedenoising,withoutexplicitdepth-basedcorrespondences.Bycombiningthismemorywithrecenttemporalcontextandfew-stepdistillation,WorldCrafterenablesstreamingsceneexplorationfromasingleinputimageortextprompt.Experimentsacrossstaticanddynamicscenesshowsubstantialgainsinlong-horizonconsistencyandcamera-controlaccuracywhilepreservingvisualqualityduringminute-scaleexploration.

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