This repository implements the GMCNN (Generative Multi-column Convolutional Neural Network) paper for filling missing regions in images. The model uses multiple CNN branches at different scales to reconstruct missing image content, trained with adversarial loss for realistic results. It supports both PyTorch and TensorFlow implementations and was evaluated on standard benchmarks including Places2, CelebA-HQ, and Paris streetview datasets.