DynaVid: Learning to Generate Highly Dynamic Videos using Synthetic Motion Data
arXiv:2604.01666v1 Announce Type: new
Abstract: 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 …