AI RESEARCH
DynaVid: Learning to Generate Highly Dynamic Videos using Synthetic Motion Data
arXiv CS.CV
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ArXi:2604.01666v1 Announce Type: new Despite recent progress, video diffusion models still struggle to synthesize realistic videos involving highly dynamic motions or requiring fine-grained motion controllability. A central limitation lies in the scarcity of such examples in commonly used