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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. 3. Attention-based generator.

Fig. 3.

Given an input image and the target expression, the generator regresses and attention mask A and an RGB color transformation C over the entire image. The attention mask defines a per pixel intensity specifying to which extend each pixel of the original image will contribute in the final rendered image.