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Action Forcing: Training World Models on Unsupervised Video by Recovering Underlying Egomotion Bases

arXiv:2609.30595v1 Announce Type: new Abstract: Synchronised action annotations are needed to train controllable world models and these datasets remain elusive. Existing approaches make use of instrumented platforms with calibrated sensors, costly manual annotation, or latent-action models which la…

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  1. 2026-09-28 04:00 · arXiv cs.CV
    Action Forcing: Training World Models on Unsupervised Video by Recovering Underlying Egomotion Bases

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