Jul 2026
SpaR3D-MoE: Adaptive 3D Spatial Reasoning from Sparse Views Meets Geometry-Inductive Mixture-of-Experts
SpaR3D-MoE, an end-to-end framework that enables adaptive spatial reasoning by equipping MLLMs with geometry-aware capabilities from only sparse RGB inputs, is introduced and the heterogeneous geometry-inductive Mixture-of-Experts driven by an instruction-pose aware router is introduced, resolving the cross-modal contention inherent in monolithic fusion.
Haida Feng, Hao Wei, Haolin Wang et al.
· arXiv.org · 0 citations