Vision-Language Models (VLMs) excel at 2D recognition but often fail to maintain consistent 3D relations across sparse viewpoints, leading to spatial hallucinations under occlusion and perspective changes. Existing methods commonly fuse all frames with dense geometry, incurring substantial computation and context overh...
Jun-Jie Wang, Zhi-Hao Yuan, Yun-Han Tang et al.· 0 citations
UniNav is presented, a unified world-action model that generates future visual observations and continuous waypoint trajectories through a single diffusion process, unifying future prediction and action generation in a shared framework and introduces two variants: UniNav-Full and UniNav-Fast.
Changqing Zhou, Yueru Luo, Ze-Yu Jiang et al.· 2 citations
This work designs a scalable CoT curation pipeline that bootstraps rationales from a strong LLM through a two-round strategy and employs a VLM-based verifier to filter out incorrect cases, yielding a high-quality set of (CoT, answer) pairs.