Destination-Conditioned Adaptation with Semantic-Geometric Alignment for Generative Inbetweening
Generative inbetweening aims to synthesize temporally coherent intermediate frames between a start frame and a target frame. Although pretrained image-to-video diffusion models provide strong priors for large-motion inbetweening, they are not explicitly designed to reach a specified target frame. They may therefore gen...