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. Author manuscript; available in PMC: 2019 Mar 1.
Published in final edited form as: Comput Vis ECCV. 2018 Oct 6;11214:835–851. doi: 10.1007/978-3-030-01249-6_50

Fig. 2. Overview of our approach to generate photo-realistic conditioned images.

Fig. 2.

The proposed architecture consists of two main blocks: a generator G to regress attention and color masks; and a critic D to evaluate the generated image in its photorealism DI and expression conditioning fulfillment ŷg. Note that our systems does not require supervision, i.e., no pairs of images of the same person with different expressions, nor the target image Iyg are assumed to be known.