World-action models (WAMs) couple predictive visual modeling with action generation, typically relying on iterative denoising with a fixed denoising steps. However, manipulation tasks contain actions chunks with varying sensitivity to generation errors: critical actions require precision, while less sensitive actions a...
Rui Wang, Xiang-Yuan Wang, Dong-Lin Yang et al.· 0 citations
High-rate dense perception in dynamic environments is limited by the low update rate of RGB cameras, as rapid scene changes can occur between frames. Event cameras offer temporally dense but spatially sparse measurements, complementary to spatially dense RGB observations. Direct fusion cannot fully exploit this complem...
Tao Wan, Xiao-Shan Wu, Yi-Fei Yu et al.· 0 citations
OptiGeo is introduced, a bias-aware training framework that rehabilitates biased real supervision using a clean-geometry teacher and residual-trimmed alignment and outperforms substantially larger 300M-scale monocular models and billion-scale multi-view baselines on transparent-scene benchmarks, while remaining competi...
Mu-Xin Liu, Tian-Bo Liu, Jing Xia et al.· 1 citation
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