Author

Jianchun Yang

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Preprint Aug 2026

DriveCache: Action-Aware Caching for Driving World Model Inference

DriveCache is proposed, a training-free, action-aware controller that uses planned motion to allocate reuse across scenes and dynamic programming to place it across denoising steps under a calibrated response budget, which improves the overall fidelity-efficiency trade-off over evaluated cache methods.

Jianchun Yang, Jian Liang, Xian-Da Guo et al. · 0 citations

Preprint Aug 2026

LD4WAM: Learning Latent Dynamics from Human Videos for World Action Models

LD4WAM is presented, which pairs a Latent Dynamics Model trained with semantic reconstruction and real motion alignment with a World Dynamics Action Model built as a mixture-of-transformers (MoT), which preserves full future-video generation and uses learnable queries to distill these latent dynamics from generated fut...

Zhen Shen, Jia-Qi Liang, Jasper Lu et al. · 3 citations