SOURCE-LINKED INTELLIGENCE
WorldReward: Reward Modeling for Camera-Conditioned World Models
Camera-conditioned world models generate interactive videos in which commanded actions should induce the expected scene changes while appearance, geometry, and temporal dynamics remain coherent. Existing rewards assess these requirements separately: geometry-based rewards estimate trajectory execution but cannot judge the visual quality of the executed motion, whereas image-based rewards measure frame quality without capturing action execution or temporal dynamics. We posit that a vision-language model (VLM) offers a shared reasoning space for relating actions to their visual outcomes. However
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T14:53:53.000Z
First collected: 2026-09-21T04:51:57.792Z. This is not the publication date.