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💄 Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)
| Date | Stars |
|---|---|
| 2026-07-24 | 417 |
| 2026-07-25 | 417 |
| 2026-07-28 | 417 |
| 2026-07-30 | 417 |
| 2026-08-06 | 417 |
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##### Table of Content
1. [Introduction](#cpm-color-pattern-makeup-transfer)
1. [Datasets](#datasets)
1. [Getting Started](#getting-started)
- [Requirements](#requirements)
- [Usage Example](#usage)
1. [Training & Evaluation](#training-and-evaluation)
# CPM: Color-Pattern Makeup Transfer
- CPM is a holistic makeup transfer framework that outperforms previous state-of-the-art models on both light and extreme makeup styles.
- CPM consists of an improved color transfer branch (based on [BeautyGAN](http://www.colalab.org/projects/BeautyGAN)) and a novel pattern transfer branch.
- We also introduce 4 new datasets (both real and synthesis) to train and evaluate CPM.
📢 **New**: We provide [❝Qualitative Performane Comparisons❞](https://thaoshibe.github.io/CPM#qualitative-result) online! Check it out!
|  |
|:--:|
| *CPM can replicate **both colors and patterns** from a reference makeup style to another image.*|
Details of the dataset construction, model architecture, and experimental results can be found in [our following paper](https://arxiv.org/abs/2104.01867):
```
@inproceedings{m_Nguyen-etal-CVPR21,
author = {Thao Nguyen and Anh Tran and Minh Hoai},
title = {Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer},
year = {2021},
booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition (CVPR)}
}
```
**Please CITE** our paper whenever our datasets or model implementation is used to help produce published results or incorporated into other software.
[](https://colab.research.google.com/drive/1K9QVSHPJ8fx9X8yg6KnhE40PPlyW5iNp?usp=sharing) - [](https://arxiv.org/abs/2104.01867) - [](https://thaoshibe.github.io/CPM)
---
### Datasets
We introduce ✨ 4 new datasets: **CPM-Real**, **CPM-Synt-1**, **CPM-Synt-2**, and **Stickers** datasets. Besides, we also use published [LADN's Dataset](https://georgegu1997.github.io/LADN-project-page/) & [Makeup Transfer Dataset](http://liusi-group.com/projects/BeautyGAN).
CPM-Real and Stickers are crawled from Google Image Search, while CPM-Synt-1 & 2 are built on [Makeup Transfer](http://liusi-group.com/projects/BeautyGAN) and Stickers. *(Click on dataset name to download)*
| Name | #imgs | Description | - |
|:-------------------------------:|:-----:|:-----------------------------------|:----------------------------------:|
|[CPM-Real](https://drive.google.com/file/d/1ZptMVZ-d2VmEVtNpUpvagnaG7vYgJn5d/view?usp=sharing)| 3895 | real - makeup styles ||
|[CPM-Synt-1](https://drive.google.com/file/d/10U8Q-u4frfxmvqlzWTCUtc6rR6-weMbb/view?usp=sharing)| 5555| synthesis - makeup images with pattern segmentation mask||
|[CPM-Synt-2](https://drive.google.com/file/d/1f-WRRWzrMSbnLCNlDY3agr-YRKgyqaFy/view?usp=sharing)| 1625| synthesis - triplets: makeup, non-makeup, ground-truth||
|[Stickers](https://drive.google.com/file/d/11_9cqTLawZPxeN3ZlHt_4yQerR3ErhQa/view?usp=sharing)|577| high-quality images with alpha channel ||
*Dataset Folder Structure can be found [here](https://github.com/VinAIResearch/CPM/blob/main/about-data.md).*
> ***By downloading these datasets, USER agrees:***
>
> * to use these datasets for research or educational purposes only
> * to not distribute the datasets or part of the datasets in any original or modified form.
> * and to [cite our paper](#cpm-color-pattern-makeup-transfer) whenever these datasets are employed to help produce published results.
---
### Getting Started
##### Requirements
- python=3.7
- torch==1.6.0
- tensorflow-gpu==1.14
- [segmentation_models_pytorch](httpExcerpt of 6,950 characters
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