Attention-GAN for Object Transfiguration in Wild Images

Understand

This paper studies the object transfiguration problem in wild images.

• The generative network in classical GANs for object transfiguration often undertakes a dual responsibility: to detect the objects of interests and to convert the object from source domain to target domain.
• In contrast, we decompose the generative network into two separat networks, each of which is only dedicated to one particular sub-task.
• The attention network predicts spatial attention maps of images, and the transformation network focuses on translating objects.