Awesome-AI-in-Beauty-Industry
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A Survey on AI in the beauty industry.
Awesome AI in Beauty Industry💄
A collection of resources on AI in the beauty and cosmetics industry.
Content
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- [ ] 1. Description
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- [ ] 2. Quantitative Evaluation Metrics
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- [ ] 3. Datasets
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- [ ] 4. Paper With Code
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- [ ] Survey
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- [ ] 2023
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- [ ] 2022
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- [ ] 2021
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- [ ] 2020
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- [ ] 2019
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- [ ] 2018
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Contact Me
1.Description
2.Quantitative Evaluation Metrics
3.Datasets
(Coming soon.)
4.Paper With Code
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Survey
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2023
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2022
- (Knowledge-Based Systems) [💬Makeup Transfer] TSEV-GAN: Generative Adversarial Networks with Target-aware Style Encoding and Verification for facial makeup transfer, Zhen Xu et al. [Paper]
- (ECCV 2022) [💬Hairstyle Transfer] Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment, Taewoo Kim et al. [Paper] [Code]
- (ECCV 2022) [💬Makeup Transfer] EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer, Chenyu Yang et al. [Paper] [Code]
- (CVPR 2022) [💬Retouching] ABPN: Adaptive Blend Pyramid Network for Real-Time Local Retouching of Ultra High-Resolution Photo, Biwen Lei et al. [Paper] [Models]
- (CVPR 2022) [💬Makeup Transfer & Protecting Facial Privacy] Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer, Shengshan Hu et al. [Paper]
- (AAAI 2022) [💬Makeup Transfer & Removal] SSAT: A Symmetric Semantic-Aware Transformer Network for Makeup Transfer and Removal, Zhaoyang Sun et al. [Paper] [Code]
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2021
- (TPAMI 2021) [💬Makeup Transfer & Removal] PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal, Si Liu et al. [Paper]
- (CVPR 2021) [💬Makeup Transfer] Spatially-invariant Style-codes Controlled Makeup Transfer, Han Deng et al. [Paper] [Code]
- (CVPR 2021 AI for Content Creation Workshop) [💬Makeup Transfer for video] Deep Graphics Encoder for Real-Time Video Makeup Synthesis from Example, Robin Kips et al. [Paper]
- (CVPR 2021) [💬Makeup Transfer] Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer, Thao Nguyen et al. [Paper] [Code]
- (IJCAI 2021) [💬Makeup Generation] Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition, Bangjie Yin et al. [Paper]
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2020
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2019
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2018
Contact Me
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Yutong ZHOU in Interaction Laboratory, Ritsumeikan University. ヽ( ̄ω ̄( ̄ω ̄〃)ゝ
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If you have any question, please feel free to contact Yutong ZHOU (E-mail: [email protected]).