"Novel View Synthesis from a Single Unposed Image via Unsupervised Lear" by Bingzheng Liu, Jianjun Lei et al.
Novel view synthesis aims to generate novel views from one or more given source views. Although existing methods have achieved promising performance, they usually require paired views with different poses to learn a pixel transformation. This article proposes an unsupervised network to learn such a pixel transformation from a single source image. In particular, the network consists of a token transformation module that facilities the transformation of the features extracted from a source image into an intrinsic representation with respect to a pre-defined reference pose and a view generation m...
Source: uow.edu.au
