Reviews: Unsupervised Object Segmentation by Redrawing

Neural Information Processing Systems 

Originality: To my knowledge this is an original approach to the unsupervised learning of object segmentation. Besides the specific method proposed in this paper, I find this problem very exciting and I think that it will have a great development in the near future. I do not see this as a combination of prior work. In general, this paper uses methodologies/toola that are becoming well-established (eg GANs). There is a good prior work section, but some important works are missing and should be discussed, such as: Remez et al. SEIGAN: towards compositional image generation by simultaneously learning to segment, enhance, and inpaint, ArXiv 2018 Kanezaki.