Unsupervised Person Image Synthesis in Arbitrary Poses
Unsupervised Person Image Synthesis in Arbitrary Poses
We present a novel approach for synthesizing photorealistic images of people in arbitrary poses using generative adversarial learning. Given an input image of a person and a desired pose represented by a 2D skeleton, our model renders the image of the same person under the new pose, synthesizing novel views …