Reviews: PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments

Given few RGBD images of a real indoor scene as well as camera locations where these were taken, the algorithm predicts RGBD images takes from different camera locations. The novelty is the use of denoising auto-encoder for a given view and finding latent representations that are consistent for different views. Detailed comments: - It would be good if the whole process was described in steps because it wasn't clear what the overall approach is from the start (may be it would be for someone working on a similar topic). Some figures are good, but could be better - together with such description. Something like the following would be useful for me: A) We are given a set of RGBD views along with camera locations of a given scene.