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Copy file name to clipboardexpand all lines: Color/README.md
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| This is training guideline for Color Branch (C), one out of two branches in [Color-Pattern Makeup Transfer (CPM)](../README.md).|
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| This is a training guideline for Color Branch (C), one out of two branches in [Color-Pattern Makeup Transfer (CPM)](../README.md).|
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---
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For Color Branch, we used the same CycleGAN-based model like [BeautyGAN](liusi-group.com/pdf/BeautyGAN-camera-ready_2.pdf).
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But instead of normal training pair, we used our **novel uv-space**.
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But instead of normal training pair, we used our **novel UV-space**.
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1.**Download [Makeup Transfer Dataset](http://liusi-group.com/projects/BeautyGAN)** & unzip it. The dataset folder should be like:
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| From left to right: Segmentation Mask, UV-texture.|
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3.**Train Color Branch**: Follow instruction at [BeautyGAN-pytorch-reimplementation](https://github.com/thaoshibe/BeautyGAN-PyTorch-reimplementation) to re-train model with newly established dataset.
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3.**Train Color Branch**: Follow instruction at [BeautyGAN-pytorch-reimplementation](https://github.com/thaoshibe/BeautyGAN-PyTorch-reimplementation)or [BeautyGAN-pytorch-implementation](https://github.com/wtjiang98/BeautyGAN_pytorch)to re-train model with newly established dataset.
Copy file name to clipboardexpand all lines: README.md
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- CPM is a holistic makeup transfer framework that outperforms previous state-of-the-art models on both light and extreme makeup styles.
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- CPM consists of an improved color transfer branch (based on [BeautyGAN](http://www.colalab.org/projects/BeautyGAN)) and a novel pattern transfer branch.
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- The datasets used to train and evaluate CPM contains both real and synthetic, light and extreme examples.
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- We also introduce 4 new datasets (both real and synthesis) to train and evaluate CPM.
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|*CPM can replicate **both colors and patterns** from a reference makeup style to another image.*|
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Details of the dataset construction, model architecture and experimental results can be found in [our following paper](https://arxiv.org/abs/2104.01867):
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Details of the dataset construction, model architecture, and experimental results can be found in [our following paper](https://arxiv.org/abs/2104.01867):
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```
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@inproceedings{m_Nguyen-etal-CVPR21,
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booktitle = {Proceedings of the {IEEE} Conference on Computer Vision and Pattern Recognition (CVPR)}
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}
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```
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**Please CITE** our paper whenever our dataset or model implementation is used to help produce published results or incorporated into other software.
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**Please CITE** our paper whenever our datasets or model implementation is used to help produce published results or incorporated into other software.
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[](https://colab.research.google.com/drive/1K9QVSHPJ8fx9X8yg6KnhE40PPlyW5iNp?usp=sharing) - [](https://arxiv.org/abs/2104.01867) - [](https://thaoshibe.github.io/CPM)
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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).
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CPM-Real and Stickers are crawled from Google Image Search, while CPM-Synt-1 & 2 are build on [Makeup Transfer](http://liusi-group.com/projects/BeautyGAN) and Stickers. *(Click on dataset name to download)*
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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)*
|[Stickers](https://public.vinai.io/CPM-datasets/Stickers.zip)|577| high-quality images with alpha channel, used to create CPM-Synt-1 and CPM-Synt-2||
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|[Stickers](https://public.vinai.io/CPM-datasets/Stickers.zip)|577| high-quality images with alpha channel ||
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*Dataset Folder Structure can be found [here](https://github.com/VinAIResearch/CPM/blob/main/about-data.md).*
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> ***By downloading these dataset, USER agrees:***
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> ***By downloading these datasets, USER agrees:***
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>
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> * to use the dataset for research or educational purposes only
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> * to not distribute or part of the dataset in any original or modified form.
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> * and to [cite our paper](#cpm-color-pattern-makeup-transfer) whenever the dataset is employed to help produce published results.
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> * to use these datasets for research or educational purposes only
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> * to not distribute or part of these datasets in any original or modified form.
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> * and to [cite our paper](#cpm-color-pattern-makeup-transfer) whenever these datasets are employed to help produce published results.
- Download CPM's pretrained models: [color.pth](https://public.vinai.io/CPM_checkpoints/color.pth) and [pattern.pth](https://public.vinai.io/CPM_checkpoints/pattern.pth). Put them in `checkpoints` folder.
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- Download CPM’s pre-trained models: [color.pth](https://public.vinai.io/CPM_checkpoints/color.pth) and [pattern.pth](https://public.vinai.io/CPM_checkpoints/pattern.pth). Put them in `checkpoints` folder.
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- Download [PRNet pretrained model] from [Drive](https://drive.google.com/file/d/1UoE-XuW1SDLUjZmJPkIZ1MLxvQFgmTFH/view). Put it in `PRNet/net-data`
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- Download [PRNet pre-trained model] from [Drive](https://drive.google.com/file/d/1UoE-XuW1SDLUjZmJPkIZ1MLxvQFgmTFH/view). Put it in `PRNet/net-data`
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