Reviews: Pose Guided Person Image Generation

The paper proposes a human image generator conditioned on appearance and human pose. The proposed generation is based on adversarial training architecture where two-step generative networks that produces high resolution image to feed into a discriminator. In the generator part, the first generator produce a coarse image using a U-shape network given appearance and pose map, then the second generator takes the coarse input with the original appearance to predict residual to refine the coarse image. The paper proposes a few important ideas. Conditioned on appearance and pose information, the proposed generator stacks two networks to adopt a coarse-to-fine strategy.