Reviews: Controllable Text-to-Image Generation

The paper is well-organized and written, which can be followed easily. In particular, instead of generating a new image from the text, the authors pay more attention to image manipulation based on the modified natural language description. For the word-level spatial and channel-wise attention driven generator: (1) The novelty and effectiveness of attentional generator may be limited. Specifically, the paper designs a word-level spatial and channel-wise attention driven generator, which has two attention parts (i.e. However, since the spatial attention is based on the method in AttnGAN [7], most contributions may lie on the additional channel-wise part.