Author

Jin-Hao Zhang

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Preprint Aug 2026

GaussianWAM: Distilling Geometry and Semantics from 3D Gaussian Fields into World-Action Models

GaussianWAM is proposed, a training-time representation-enhancement framework that organizes geometric and semantic supervision through a 3D Gaussian field and improves performance on standard LIBERO and shows positive transfer trends on RoboTwin and real-world manipulation.

Zi-Jian Zhang, Yu-Qing Jiang, Wei-Tao Zhou et al. · 3 citations