This repository implements the pixel-recursive super-resolution technique from a Google Brain research paper using TensorFlow. It employs PixelCNN and PixelRNN architectures to generate high-resolution images from low-resolution inputs. The model is trained on the CelebA dataset and uses cross-entropy loss for training.