WorldCache: Accelerating World Models for Free via Heterogeneous Token Caching 事件

WorldCache: Accelerating World Models for Free via Heterogeneous Token Caching arXiv:2603.06331v2 Announce Type: replace Abstract: Diffusion-based world models have shown strong potential for unified world simulation, but the iterative denoising remains too costly for interactive use and long-horizon rollouts. While feature caching can accelerate inference without training, we find that policies designed for single-modal diffusion transfer poorly to world models due to two world-model-specific