AI RESEARCH
Light Interaction: Training-Free Inference Acceleration for Interactive Video World Models
arXiv CS.LG
•
ArXi:2605.31158v1 Announce Type: cross 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. However, scaling to long interactive trajectories is prohibitively expensive due to growing context memory, quadratic attention complexity, and repeated denoising steps. We present Light Interaction, a