  Realistic image synthesis is to generate an image that is perceptually
indistinguishable from an actual image. Generating realistic looking images
with large variations (e.g., large spatial deformations and large pose change),
however, is very challenging. Handing large variations as well as preserving
appearance needs to be taken into account in the realistic looking image
generation. In this paper, we propose a novel realistic looking image synthesis
method, especially in large change demands. To do that, we devise generative
guiding blocks. The proposed generative guiding block includes realistic
appearance preserving discriminator and naturalistic variation transforming
discriminator. By taking the proposed generative guiding blocks into generative
model, the latent features at the layer of generative model are enhanced to
synthesize both realistic looking- and target variation- image. With
qualitative and quantitative evaluation in experiments, we demonstrated the
effectiveness of the proposed generative guiding blocks, compared to the
state-of-the-arts.
