AI RESEARCH
MemCam: Memory-Augmented Camera Control for Consistent Video Generation
arXiv CS.AI
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ArXi:2603.26193v1 Announce Type: cross Interactive video generation has significant potential for scene simulation and video creation. However, existing methods often struggle with maintaining scene consistency during long video generation under dynamic camera control due to limited contextual information. To address this challenge, we propose MemCam, a memory-augmented interactive video generation approach that treats previously generated frames as external memory and leverages them as contextual conditioning to achieve controllable camera viewpoints with high scene consistency.