AI RESEARCH
Video Reconstruction using Diffusion-based Image-to-Video Generation with Trajectory Guidance
arXiv CS.LG
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ArXi:2605.16420v1 Announce Type: cross This paper addresses the problem of reconstructing missing or dropped frames in top-down drone video of autonomous surface vehicles performing structured maritime manoeuvres. We propose a pipeline that converts raw GPS telemetry and a single reference frame into a trajectory-guided video sequence using a pre-trained image-to-video diffusion model, requiring no domain-specific fine-tuning.