A two-stage privileged context distillation framework, which transfers full context behavior from a dense teacher through consistency distillation and then refines deployment rollouts with distribution matching, is proposed, which transfers full context behavior from a dense teacher through consistency distillation.
Xu Guo, Zhengxuan Wei, Xinghui Li et al.· 0 citations
TGRHuman, a novel approach for generating realistic 3D humans from text that decouples geometry and texture generation to alleviate the issues commonly encountered in NeRF-based methods, outperforms existing text-to-3D human methods in both geometry and texture quality.
Muxin Zhang, Chao-Hui Yu, Yuanwang Yang et al.· Fundamental Research· 0 citations
HPCLR is a hierarchical part-aware contrastive learning framework for skeleton-based action recognition that leverages the consistency among joint, motion, and bone modalities to select more reliable positive samples, thereby contributing to more stable and informative multi-stream skeleton representations.
Hong-Wei Chen, Min Wei, Yuanyuan Zhu et al.· Journal of Supercomputing· 0 citations
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