  We introduce a principled approach for synthesizing new views of a scene
given a single source image. Previous methods for novel view synthesis can be
divided into image-based rendering methods (e.g. flow prediction) or pixel
generation methods. Flow predictions enable the target view to re-use pixels
directly, but can easily lead to distorted results. Directly regressing pixels
can produce structurally consistent results but generally suffer from the lack
of low-level details. In this paper, we utilize an encoder-decoder architecture
to regress pixels of a target view. In order to maintain details, we couple the
decoder aligned feature maps with skip connections, where the alignment is
guided by predicted depth map of the target view. Our experimental results show
that our method does not suffer from distortions and successfully preserves
texture details with aligned skip connections.
