SHMT

SelfSupervisedLearning MakeupTransfer HierarchicalModel

SHMT offers unsupervised hierarchical makeup transfer using latent diffusion models, ideal for researchers and image engineers, enabling natural makeup migration without explicit labels.

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Author:LoRA

Inclusion Time:28 Feb 2025

Visits:6275

Pricing Model:Free

Introduction

What is SHMT?

SHMT is a cutting-edge self-supervised hierarchical makeup transfer technology using latent diffusion models. It enables natural makeup transfer between faces without explicit labeling, handling complex facial features and expressions for high-quality results. Accepted at NeurIPS 2024, it offers innovative solutions in image processing.

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