no code implementations • 26 Oct 2022 • Margaret Duff, Ivor J. A. Simpson, Matthias J. Ehrhardt, Neill D. F. Campbell
The covariance can model changing uncertainty dependencies caused by structure in the image, such as edges or objects, and provides a new distance metric from the manifold of learned images.
no code implementations • 22 Jul 2021 • Margaret Duff, Neill D. F. Campbell, Matthias J. Ehrhardt
The success of generative regularisers depends on the quality of the generative model and so we propose a set of desired criteria to assess generative models and guide future research.