no code implementations • 25 Sep 2019 • Eunju Cha, Jaeduck Jang, Junho Lee, Eunha Lee, Jong Chul Ye
However, the computation of the divergence term in SURE is difficult to implement in a neural network framework, and the condition to avoid trivial identity mapping is not well defined.
no code implementations • 18 Jun 2019 • Eunju Cha, Jaeduck Jang, Junho Lee, Eunha Lee, Jong Chul Ye
In this paper, we show that the recent unsupervised learning methods such as Noise2Noise, Stein's unbiased risk estimator (SURE)-based denoiser, and Noise2Void are closely related to each other in their formulation of an unbiased estimator of the prediction error, but each of them are associated with its own limitations.