2026
Learning to Generate Highly Dynamic Videos using Synthetic Motion Data
CVPR 2026
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 training datasets. To address this, we introduc