This repository contains the code for "ProDiff: A Denoising Diffusion Framework with Prototype-Based Modeling for Trajectory Imputation", which introduces a novel method for imputing missing points in human trajectory data. The method integrates prototype learning and diffusion models to capture and embed human behavior patterns, making it well-suited for handling incomplete and irregular trajectory data.