This work introduces HarnessVLN, a zero-shot, training-free framework that unifies instruction-following and object-goal navigation through a shared Agent Harness and demonstrates its applicability to both navigation tasks in real-world environments.
Yang Chen, Li-Rong Che, Zhen-Yu Huang et al.· 5 citations· ⚡1
GeoWorldAD is proposed, a geometry world action model that grounds trajectory planning in ego-aligned 3D space and anticipates short-horizon scene evolution with latent future geometry tokens and progressively aggregates multi-scale present geometry and latent future geometry through iterative trajectory refinement.
Song-Yan Zhang, Jin-Yu Tian, Han-Bing Li et al.· arXiv.org· 1 citation
This work introduces VAR-VTON, a VAR-based VTON model that incorporates garment conditioning and structural guidance for efficient latent-space VTON, and proposes STAR-VTON, a Two-Stage AutoRegressive framework that builds upon VAR-VTON by decoupling latent-space structural synthesis from pixel-space detail recovery.
Lu Yang, Xiaonan Hu, Yanan Li et al.· arXiv.org· 0 citations
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