AI RESEARCH
Video2LoRA: Unified Semantic-Controlled Video Generation via Per-Reference-Video LoRA
arXiv CS.CV
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ArXi:2603.08210v1 Announce Type: new Achieving semantic alignment across diverse video generation conditions remains a significant challenge. Methods that rely on explicit structural guidance often enforce rigid spatial constraints that limit semantic flexibility, whereas models tailored for individual control types lack interoperability and adaptability. These design bottlenecks hinder progress toward flexible and efficient semantic video generation.