Preprint
Jul 2026
Learning 4D Geometric Priors for Inference-Efficient World Action Models
MECo-WAM is proposed, a Multi-Expert Co-Training World Action Model that injects action-relevant 4D geometric priors into video-action representations while preserving the original lightweight inference graph.
Jianjun Zhang, Jian Zhu, Taiyi Su et al.
· 5 citations