ImagiRep paper: accurate imagined RGB isn't enough for spatial reasoning, GEARS picks better views
_akhaliq · x · 2026-10-29
The paper "Representing the Unseen: Rethinking Visual Imagination for Spatial Reasoning" (Zengqi Zhao, Shoubin Yu, Mohit Bansal, Yue Zhang, et al.) questions the default of using RGB generation for spatial reasoning in visual world models.
Key points:
- ImagiRep: a simulator-grounded benchmark of 922 questions across 7 question types in two settings (Viewpoint Imagination and Cross-view Integration), offering oracle RGB plus 6 alternative representations (depth, panoramas, top-down geometry) of the same unobserved state.
- Finding: even perfectly accurate imagined RGB does not guarantee accurate spatial reasoning; different questions benefit from different representations.
- World-model-estimated RGB alone can mislead reasoning, while alternative representations retain complementary benefits.
- GEARS: a lightweight test-time adaptive representation-selection strategy that outperforms existing spatial imagination methods.
Takeaway: reasoning about unseen states requires more than generating RGB views — representation choice is the key variable.
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