This project implements machine learning-based image inpainting to remove watermarks from photographs, producing results indistinguishable from the original un-watermarked images. It builds on academic research including Contextual Attention (CVPR 2018) and Gated Convolution (ICCV 2019), using deep neural networks to detect and fill in watermark regions with contextually appropriate image content.