Light Interaction: Training-Free Inference Acceleration for Interactive Video World Models 事件

Light Interaction: Training-Free Inference Acceleration for Interactive Video World Models arXiv:2605.31158v1 Announce Type: new Abstract: Interactive video world models generate video chunk by chunk in response to user-controlled camera movements, enabling applications such as real-time game simulation, virtual scene navigation, and embodied AI training. However, scaling to long interactive trajectories is prohibitively expensive due to growing context memory, quadratic attention complexity, a