Qihe Pan

SUPERVISED MAKEUP TRANSFER WITH A CURATED DATASET: DECOUPLING IDENTITY AND MAKEUP FEATURES FOR ENHANCED TRANSFORMATION

Diffusion models have recently shown strong progress in generative tasks, offering a more stable alternative to GAN-based approaches for makeup transfer. Existing methods often suffer from limited datasets, poor disentanglement between identity and makeup features, and weak controllability. To addre…