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Current makeup transfer methods are limited to simple makeup styles, making them difficult to apply in real-world scenarios.
Image quality assessment: from error visibility to structural similarity
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Ca-gan: Weakly supervised color aware gan for controllable makeup transfer. In Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part III 16 . Springer, 280–296
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Emerging properties in self-supervised vision transformers. In Proceedings of the IEEE/CVF international conference on computer vision . 9650–9660
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin. 2021 · 2021
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Spatially-invariant style-codes controlled makeup transfer. In Proceedings of the IEEE/CVF Conference on computer vision and pattern recognition . 6549–6557
Han Deng, Chu Han, Hongmin Cai, Guoqiang Han, and Shengfeng He. 2021 · 2021
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PSGAN++: robust detail-preserving makeup transfer and removal
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Lipstick ain’t enough: beyond color matching for in-the-wild makeup transfer. In Proceedings of the IEEE/CVF Conference on computer vision and pattern recognition . 13305–13314
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Learning Transferable Visual Models From Natural Language Supervision
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An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H. Bermano, Gal Chechik, and Daniel Cohen-Or. 2022 · 2022
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Shape Preserving Facial Landmarks with Graph Attention Networks. In 33rd British Machine Vision Conference 2022, BMVC 2022, London, UK, November 21-24, 2022 . BMVA Press
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Hierarchical Text-Conditional Image Generation with CLIP Latents
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High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition . 10684–10695
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
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Taming encoder for zero fine-tuning image customization with text-to-image diffusion models
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LayerDiffusion: Layered Controlled Image Editing with Diffusion Models
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Directed diffusion: Direct control of object placement through attention guidance
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DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
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Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman. 2022 · 2022
Cited alongside, same era.
Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
Cited alongside, same era.
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, Patrick Schramowski, Srivatsa Kundurthy, Katherine Crowson, Ludwig Schmidt, Robert Kaczmarczyk, and Jenia Jitsev. 2022 · 2022
Cited alongside, same era.
Facial attribute transformers for precise and robust makeup transfer. In Proceedings of the IEEE/CVF winter conference on applications of computer vision . 1717–1726
Zhaoyi Wan, Haoran Chen, Jie An, Wentao Jiang, Cong Yao, and Jiebo Luo. 2022 · 2022
Cited alongside, same era.
RamGAN: Region Attentive Morphing GAN for Region-Level Makeup Transfer. In European Conference on Computer Vision . Springer, 719–735
Jianfeng Xiang, Junliang Chen, Wenshuang Liu, Xianxu Hou, and Linlin Shen. 2022 · 2022
Cited alongside, same era.
Elegant: Exquisite and locally editable gan for makeup transfer. In European Conference on Computer Vision . Springer, 737–754
Chenyu Yang, Wanrong He, Yingqing Xu, and Yang Gao. 2022 · 2022
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Semi-parametric Makeup Transfer via Semantic-aware Correspondence
Mingrui Zhu, Yun Yi, N. Wang, Xiaoyu Wang, and Xinbo Gao. 2022 · 2022
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Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models
Moab Arar, Rinon Gal, Yuval Atzmon, Gal Chechik, Daniel Cohen-Or, Ariel Shamir, and Amit H Bermano. 2023 · 2023
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Chong Mou, Xintao Wang, Liangbin Xie, Jian Zhang, Zhongang Qi, Ying Shan, and Xiaohu Qie. 2023b · 2023
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Sdxl: Improving latent diffusion models for high-resolution image synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach. 2023 · 2023
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HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
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SSAT + + ++ : A Semantic-Aware and Versatile Makeup Transfer Network With Local Color Consistency Constraint
Zhaoyang Sun, Yaxiong Chen, and Shengwu Xiong. 2023 · 2023
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Ledits: Real image editing with ddpm inversion and semantic guidance
Linoy Tsaban and Apolinário Passos. 2023 · 2023
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Elite: Encoding visual concepts into textual embeddings for customized text-to-image generation
Yuxiang Wei, Yabo Zhang, Zhilong Ji, Jinfeng Bai, Lei Zhang, and Wangmeng Zuo. 2023 · 2023
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Edit everything: A text-guided generative system for images editing
Defeng Xie, Ruichen Wang, Jian Ma, Chen Chen, Haonan Lu, Dong Yang, Fobo Shi, and Xiaodong Lin. 2023 · 2023
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BeautyREC: Robust, Efficient, and Component-Specific Makeup Transfer. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 1102–1110
Qixin Yan, Chunle Guo, Jixin Zhao, Yuekun Dai, Chen Change Loy, and Chongyi Li. 2023 · 2023
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Ip-adapter: Text compatible image prompt adapter for text-to-image diffusion models
Hu Ye, Jun Zhang, Sibo Liu, Xiao Han, and Wei Yang. 2023 · 2023
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang and Maneesh Agrawala. 2023 · 2023
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Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
Shihao Zhao, Dongdong Chen, Yen-Chun Chen, Jianmin Bao, Shaozhe Hao, Lu Yuan, and Kwan-Yee K Wong. 2023 · 2023
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InstantID: Zero-shot Identity-Preserving Generation in Seconds
Qixun Wang, Xu Bai, Haofan Wang, Zekui Qin, and Anthony Chen. 2024 · 2024
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Ssr-encoder: Encoding selective subject representation for subject-driven generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 8069–8078
Yuxuan Zhang, Yiren Song, Jiaming Liu, Rui Wang, Jinpeng Yu, Hao Tang, Huaxia Li, Xu Tang, Yao Hu, Han Pan, et al · 2024
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