Reviews: Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language

After rebuttal comments: * readability: I trust the authors to update the paper based on my suggestions (as they agreed to in their rebuttal). For AttrGAN, they did change the weight sweep and for SISGAN they used the same hyperparameters as they used in their method (which I would object to in general, but given that the authors took most of their hyperparameters from DCGAN, does not create an unfair advantage). I expect the additional details of the experimental results to be added in the paper (as supplementary material). Ensure that content that is not relevant to the text does not change. Method: to avoid changing too much of the image, use local discriminators that learn the presence of individual visual attributes.