Reviews: Unsupervised Learning of Object Landmarks through Conditional Image Generation

Summary: This paper proposes a method for conditional image generation by jointly learning "structure" points such as face and body landmarks. The authors propose to use a convolutional neural network with a modified loss to capture the image transformation and landmarks. They evaluate their approach on a set of datasets including CelebA, VoxCeleb, and Human 3.6M. Positive: -The problem addressed is an important problem and the authors attempt to solve it using a well engineered approach. Negatives: -The pre-processing using heat maps, normalizing them into probabilities, then using a gaussian kernel to produce the features is a bit heuristic.