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GeoState: Learning View-Decoupled Geometry States for 3D World Modeling

Hongchang Liu, Jian Liu, Yujuan Ding, Liang Peng, Xun Jiang, Fei Ma, Xing Xu, Yi Bin
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Aus dem Abstract

Recent 3D world models increasingly use features from geometry foundation models (GFMs) as predictive world states, benefiting from their rich geometric priors. However, the view dependence of these features entangles scene dynamics with camera-induced variation, making the resulting state evolution harder to predict.

Aus dem Abstract. Unsere Zusammenfassung folgt.