Makeup Extraction of 3D Representation via Illumination-Aware Image Decomposition
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Abstract (arXiv)
Facial makeup enriches the beauty of not only real humans but also virtual characters; therefore, makeup for 3D facial models is highly in demand in productions. However, painting directly on 3D faces and capturing real-world makeup are costly, and extracting makeup from 2D images often struggles with shading effects and occlusions. This paper presents the first method for extracting makeup for 3D facial models from a single makeup portrait. Our method consists of the following three steps. First, we exploit the strong prior of 3D morphable models via regression-based inverse rendering to extract coarse materials such as geometry and diffuse/specular albedos that are represented in the UV space. Second, we refine the coarse materials, which may have missing pixels due to occlusions. We apply inpainting and optimization. Finally, we extract the bare skin, makeup, and an alpha matte from the diffuse albedo. Our method offers various applications for not only 3D facial models but also 2D portrait images. The extracted makeup is well-aligned in the UV space, from which we build a large-scale makeup dataset and a parametric makeup model for 3D faces. Our disentangled materials also yield robust makeup transfer and illumination-aware makeup interpolation/removal without a reference image.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 48 of its 73 references that are in the map. First posted on arXiv 26 Feb 2023.
Builds on
48 of 73 references.
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36 more
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Built on by
Citing papers per year: 2023: 2; 2024: 2; 2025: 3; 2026: 1.
8 papers.
- 2023EMAGE: Towards Unified Holistic Co-Speech Gesture Generation via Expressive Masked Audio Gesture Modelingcited by 101
- 2024Makeup Prior Models for 3D Facial Makeup Estimation and Applicationscited by 7
- 2025FreeUV: Ground-Truth-Free Realistic Facial UV Texture Recovery via Cross-Assembly Inference Strategycited by 7
- 2024BeautyBank: Encoding Facial Makeup in Latent Spacecited by 4
- 2025AvatarMakeup: Realistic Makeup Transfer for 3D Animatable Head Avatarscited by 3
- 2025FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Stylescited by 2
- 2026Supervised makeup transfer with a curated dataset: Decoupling identity and makeup features for enhanced transformationcited by 1
- 2023MicroGlam: Microscopic Skin Image Dataset with Cosmeticscited by 0
- 2026Supervised makeup transfer with a curated dataset: Decoupling identity and makeup features for enhanced transformation31 Jan 2026
- 2025FFHQ-Makeup: Paired Synthetic Makeup Dataset with Facial Consistency Across Multiple Styles5 Aug 2025
- 2025AvatarMakeup: Realistic Makeup Transfer for 3D Animatable Head Avatars3 Jul 2025
- 2025FreeUV: Ground-Truth-Free Realistic Facial UV Texture Recovery via Cross-Assembly Inference Strategy21 Mar 2025
- 2024BeautyBank: Encoding Facial Makeup in Latent Space18 Nov 2024
- 2024Makeup Prior Models for 3D Facial Makeup Estimation and Applications26 Mar 2024
- 2023EMAGE: Towards Unified Holistic Co-Speech Gesture Generation via Expressive Masked Audio Gesture Modeling31 Dec 2023
- 2023MicroGlam: Microscopic Skin Image Dataset with Cosmetics29 Nov 2023