RetailSMV: Exocentric vs. Egocentric Adaptation of Foundation Video World Models in Retail

arXiv cs.CV1mo4 min read

arXiv:2607.00310v1 Announce Type: new Abstract: Foundation video diffusion models are increasingly viewed as world simulators for embodied agents, yet their pretraining on internet-scale generic video leaves them poorly aligned with real-world deployment domains. We study parameter-efficient adaptation of a pretrained foundation video world model to retail scenes: when synchronized egocentric and exocentric video of the same activity are available, which viewpoint of training data produces the strongest adapted model? We introduce RetailSMV (Retail Synchronized Multi-View), a corpus of 32,105

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RetailSMV: Exocentric vs. Egocentric Adaptation of Foundation Video World Models in Retail

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