Embodied navigation requires agents to ground instructions or object goals in spatial observations and translate plans into successful execution. As multimodal large language models (MLLMs) become increasingly capable, they offer stronger support for navigation without task-specific training; however, improved semantic...
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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