Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis

Understand

Despite remarkable advances in image synthesis research, existing works often fail in manipulating images under the context of large geometric transformations.

• Synthesizing person images conditioned on arbitrary poses is one of the most representative examples where the generation quality largely relies on the capability of identifying and modeling arbitrary transformations on different body parts.
• Current generative models are often built on local convolutions and overlook the key challenges (e.g.
• heavy occlusions, different views or dramatic appearance changes) when distinct geometric changes happen for each part, caused by arbitrary pose manipulations.