Pose and Color-Gamut Guided Generative Adversarial Network for Pedestrian Image Synthesis

Summary

This study introduces a novel pose and color-gamut guided generative adversarial network (PC-GAN) for pedestrian image synthesis. The PC-GAN effectively addresses domain transfer limitations, enhancing pedestrian reidentification (Re-ID) tasks.