PIDM is a denoising diffusion probabilistic model for generating person images given a source image and a target pose. It leverages a U-Net based denoising architecture combined with pose-guided feature modulation to synthesize realistic human images. The model was published at CVPR 2023 and provides both training code and a Google Colab demo for inference.