Reviews: Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization

In this paper, the authors study the problem of reconstructing a hidden scene from the observed videos. The proposed method seeks to invert tight transport matrix without a calibration step. The problem is challenging and ill posed. The author learn a low-dimensional basis from observed videos and use deep image prior models for generating hidden scene and coefficients of the light transport basis. Originality: The paper uses inverse light transport to recover a video of hidden scene without any calibration, which seems novel.