Image-to-Video Generation
The synthesis of dynamic video sequences from static images via learned motion priors — inferring temporally coherent motion from a single reference frame while preserving identity, structure, and semantic consistency.
Image-to-video (I2V) generation has emerged as a critical capability in multimodal AI, bridging static imagery with temporal dynamics. By conditioning on a reference frame, I2V models learn to hallucinate plausible motion trajectories, enabling applications ranging from character animation and talking-head synthesis to film production and creative content generation. Explore the two sub-domains below.