Facial Makeup Research Articles

Styled and characteristic Peking opera facial makeup synthesis with co-training and transfer conditional styleGAN2

Against the backdrop of the deep integration of culture and technology, research and practice in digitization of intangible cultural heritage has continued to deepen. However, due to the lack of data and training, it is still very difficult to apply artificial intelligence to the field of cultural heritage protection. This article integrates image generation technology into the digital protection of Peking opera facial makeup, using a self-built Peking opera facial makeup dataset. Based on the StyleGAN2 network, we propose a style generative cooperative training network Co-StyleGAN2, which integrates the adaptive data augmentation (ADA) to alleviate the problem of discriminator overfitting and introduces the idea of cooperative training to stabilize the training process. We design a Peking opera facial makeup image transform conditional generation network TC-StyleGAN2 which is transferred from unconditional generation network. The weights of the unconditional pre-training model are fixed, and an adaptive filtering modulation module is added to modulate the category parameters to complete the conversion from unconditional to conditional StyleGAN2 to deal with the training difficulty of conditional GANs on limited data, which suffer from severe mode collapse. The experimental results show that the proposed training strategy is better than the comparison algorithms, and the image generation quality and diversity have been improved.

Phthalate Esters in Different Types of Cosmetic Products: A Five-Year Quality Control Survey.

Phthalate esters are commonly included in the formulations of cosmetics and related products in order to retain fragrance, enhance flexibility (i.e., by acting as plasticizers), facilitate the dissolution and dispersion of other ingredients, and improve the overall texture and sensory experience of the products. This study aimed to assess the presence and concentrations of phthalates in cosmetics by analyzing a comprehensive set of samples collected over a period of five years (2016-2020). The concentrations of nine different phthalate esters (BBP, DEHP, DNOP, DPP, DBP, DIPP, DMEP, DMP and PIPP) in 1110 cosmetics samples from France and Spain were determined by gas chromatography-mass spectrometry. The samples were included in five categories: soaps and shampoos; hand and body creams; lip gloss and lipsticks; nail polish; and facial makeup and skincare products. Some of the samples (4.86%) contained at least one phthalate at concentrations above the threshold limit (1 µg mL-1). Variable concentrations of different phthalates were determined in the 54 positive samples identified. DEHP was the most frequently detected phthalate, followed by DBP. The findings revealed different profiles according to the different categories of cosmetics and the phthalates detected in each. The results were critically compared with those obtained in various previous studies.

Recognizing gender from images with facial makeup

<p>Recognizing the sex of an individual is a difficult task due to pose variation, occlusion, illumination effect, facial expression, plastic surgery, and makeup. In this manuscript, a novel approach for gender recognition with facial makeup is proposed. A novel Log-Gabor COSFIRE (LG-COSFIRE) filter is a shape-selective filter that is trained with prototype patterns of interest. The geometrical structure of the faces is acquired using the dual-tree complex wavelet transform (DT-CWT). Dense SIFT descriptor extracts the shape attributes of an image by building local histograms of gradient orientation. Finally, least square support vector machine (LS-SVM) is utilized to recognize the gender of an individual. The experiment was performed on self-built facial makeup for male and female (FMMF) database and achieves 89.7% accuracy.</p>

Peningkatan hasil belajar melalui penggunaan e-modul tata rias geriatri berbasis pendekatan saintifik pada siswa Kelas XI Tata Kecantikan SMKN 27 Jakarta

Many of the final research (thesis) students from the UNJ Cosmetology Education study program have produced various kinds of learning media, one of which is in the form of e-modules, but most of the learning media have not yet reached the implementation stage. At SMKN 27 Jakarta there are problems with student learning outcomes which are still lacking theoretically in the geriatric cosmetology sub-material and have never used learning media in the form of e-modules in the learning process. This research aims to determine student learning outcomes before using the geriatric facial make-up e-module in class The research method used in this research is classroom action research (PTK) with the Kemmis & McTaggart model which consists of 4 stages, namely planning, implementing actions, observing and reflecting. The results of this research starting from cycle I which carried out a pre-test obtained an average student score of 75,27 with a classical learning completeness percentage of 58,33% (21 students). After the end of cycle I the students' average score increased to 88,33 with a classical learning completeness percentage of 75% (27 students). Because cycle I had not yet reached the criteria for research success, cycle II was continued which obtained an average student score of 93,44 with a classical learning completion percentage of 97,22% (35 students). Thus it can be said that the use of e-modules of geriatric cosmetics based on scientific approach in class XI in SMKN 27 Jakarta can improve student learning results because they have achieved the criteria of research success, i.e. increased learning intensity of classical students by 90%.

The Influence of Promotions and Prices on The Decision to Purchase Facial Makeup Services at The Hellobeauty Marketplace Service

With the aim of increasing sales of beauty services on the HelloBeauty marketplace . Such actions have a positive impact on business, especially in the beauty industry, and can contribute to the achievement of educational goals in this field. The method used in this research is a quantitative method with analysis to determine the effect of promotion and price as independent variables in influencing purchasing decisions for facial makeup services as the dependent variable. The variables in this research are promotion and price as independent variables (X) and purchasing decisions as the dependent variable (Y). Based on the results of the research and analysis that has been carried out, promotions have a positive and significant effect on purchasing decisions for makeup services on the Hellobeauty marketplace. Price has a positive and significant effect on the decision to purchase makeup services on the Hellobeauty marketplace.Keywords: promotions, sales, marketplace, services, facial make-up

High Fidelity Makeup via 2D and 3D Identity Preservation Net

In this article, we address the challenging makeup transfer task, aiming to transfer makeup from a reference image to a source image while preserving facial geometry and background consistency. Existing deep neural network-based methods have shown promising results in aligning facial parts and transferring makeup textures. However, they often neglect the facial geometry of the source image, leading to two adverse effects: (1) alterations in geometrically relevant facial features, causing face flattening and loss of personality, and (2) difficulties in maintaining background consistency, as networks cannot clearly determine the face-background boundary. To jointly tackle these issues, we propose the High Fidelity Makeup via two-dimensional (2D) and 3D Identity Preservation Network (IP23-Net), to the best of our knowledge, a novel framework that leverages facial geometry information to generate more realistic results. Our method comprises a 3D Shape Identity Encoder, which extracts identity and 3D shape features. We incorporate a 3D face reconstruction model to ensure the three-dimensional effect of face makeup, thereby preserving the characters’ depth and natural appearance. To preserve background consistency, our Background Correction Decoder automatically predicts an adaptive mask for the source image, distinguishing the foreground and background. In addition to popular benchmarks, we introduce a new large-scale High Resolution Synthetic Makeup Dataset containing 335,230 diverse high-resolution face images to evaluate our method’s generalization ability. Experiments demonstrate that IP23-Net achieves high-fidelity makeup transfer while effectively preserving background consistency. The code will be made publicly available.

Development of Teaching Factory Model to Enhance Creativity of Students in the Home Economics Department of the Faculty of Engineering, UNM, Indonesia

The research aims to (1) develop an appropriate 6M teaching factory model for practical learning in the Department of Family Welfare Education, Faculty of Engineering, Universitas Negeri Makassar with a concentration in Cosmetology, (2) produce a 6M teaching factory model that is valid, practical, and effective for practical learning in the Department of Family Welfare Education, Faculty of Engineering, Universitas Negeri Makassar with a concentration in Cosmetology. This study is an R & D (Research and Development)-based development research. The subjects used were 20 students from the Cosmetology concentration. The development method adapted in this study is derived from the Borg and Gall Model, which includes three main stages, namely: preliminary study covering field surveys, document analysis, and theoretical considerations; the design phase involving the creation of a teaching factory model draft and the improvement of the model; and the experimental phase that includes initial inspection, large-scale testing, and final refinement of the product. The results of this research are the creation of a teaching factory learning model called the TEFA 6M, along with operational tools including the TEFA 6M model book, Syllabus, modules, jobsheet, and LPPO. This model is designed to strengthen the practical abilities of students. The TEFA 6M model is divided into seven phases in one round, starting from pre-order, pre-production, production, post-production, packaging, to order delivery. One TEFA 6M model cycle combines soft skill and hard skill activities. The implementation of this model uses a block and rotating system and is concluded with a competency assessment. The developed TEFA 6M model has been validated by experts, revised, and tested on both small and large scales. Based on the t-test results, it is known that the Sig. (2-tailed) value of 0.000 is smaller than the probability of 0.05, so it can be concluded that there is a difference in test results between the experimental class posttest and the control class posttest. Furthermore, for the average score of the experimental group, a score of 78.38 was obtained, and 42.36 in the control group; thus, the 6M Teaching Factory Learning Model can be said to be effective in the experimental class in improving student competencies in the Facial Makeup Techniques course. The research indicates that the TEFA-6M model has met the standard of validity. Based on the evaluations carried out, it is known that this teaching approach is practical, in terms of management abilities by the lecturer, and effective, as seen from the level of student activity, student reactions to the functionality and implementation of the model, and from test results that assess task completion.

Uji Efektivitas Formulasi Sediaan Lipstik Menggunakan Bahan Pewarna Alami Dari Ekstrak Etanol Gambir (Uncaria Gambir (Hunteri)Roxb.) Dan Ekstrak Etanol Buah Stroberi (Fragaria Vesca).

Abstract: Lipstick is a form of lip coloring preparation which is a cosmetic preparation used to color the lips, to improve aesthetics in facial make-up. Lipstick preparations are available in various forms such as liquid, crayon, liptin, lipbam and cream. Lipstick consists of a coloring agent dispersed in a carrier made from a mixture of wax and oil, in such a composition as to provide the desired melting temperature and viscosity. The aim of the research is to determine the physical stability of lipstick preparations made from gambier extract and strawberry fruit extract as coloring agents. Sampling was carried out using a purposive sampling method, namely a random sampling methodology. The samples used were Gambir (Uncaria Gambir (Hunteri) Roxb.) and Ethanol Extract of Strawberries (Fragaria Vesca). then extracted by maceration using 96% ethanol solvent, concentrated by rotary. The combination of gambier ethanol extract and strawberry ethanol extract was formulated with a concentration of F1: 5%:5%, F2 :10%:10%. F315%:15%. Examination of the quality of the preparation includes organoleptic, homogeneity, pH, irritation, preference and continues with statistical analysis tests using One Way Anova. The results of normality tests with the Shapiro-Wilk test and homogeneity test, produce a value for each data > 0.05, so the data is normally distributed. The results of the One Way Anova test for each formulation group showed that the Sig value was <0.05, so the formulations had a significant difference.

FrseGAN: Free‐style editable facial makeup transfer based on GAN combined with transformer

AbstractMakeup in real life varies widely and is personalized, presenting a key challenge in makeup transfer. Most previous makeup transfer techniques divide the face into distinct regions for color transfer, frequently neglecting details like eyeshadow and facial contours. Given the successful advancements of Transformers in various visual tasks, we believe that this technology holds large potential in addressing pose, expression, and occlusion differences. To explore this, we propose novel pipeline which combines well‐designed Convolutional Neural Network with Transformer to leverage the advantages of both networks for high‐quality facial makeup transfer. This enables hierarchical extraction of both local and global facial features, facilitating the encoding of facial attributes into pyramid feature maps. Furthermore, a Low‐Frequency Information Fusion Module is proposed to address the problem of large pose and expression variations which exist between the source and reference faces by extracting makeup features from the reference and adapting them to the source. Experiments demonstrate that our method produces makeup faces that are visually more detailed and realistic, yielding superior results.

Facial Painting and 3D Stereophotogrammetric Analysis of Facial Dynamics: A Reliable Anatomical Educational Method.

(1) Background: Accurate knowledge of the dynamic anatomy of facial muscles is crucial for the use of functional and aesthetic botulinum toxin injections. We studied the reliability and relevance of facial painting as a pedagogic tool for the dynamic anatomy of facial muscles. (2) Methods: Different facial expressions were performed by a female model after a professional makeup artist applied makeup to the various facial muscles on her left hemiface. A 3D photograph was taken at the beginning and end of each movement using the VECTRA H2 Imaging System device. Cutaneous movements were visualized using displacement vectors. The correlation between the theoretical and dynamic positions of the makeup-muscle was assessed by two facial anatomy experts, thanks to a correlation scale. (3) Results: The overall average score for the 11 analyzed muscles or muscle groups was 3.36 out of 4, indicating a "strong" to "very strong" estimated correlation. There was a moderate agreement between Evaluator 1 and Evaluator 2 (ICC: 0.64; 95%CI: [0.244; 0.852]; p-value: 0.005). (4) Conclusions: The educational model with facial makeup provides an indirect but nonetheless precise and reliable representation of all facial muscles on the skin's surface. It is presented as a reliable and reproducible method, which exhibits great potential as a teaching tool.

MuNeRF: Robust Makeup Transfer in Neural Radiance Fields.

There has been a high demand for facial makeup transfer tools in fashion e-commerce and virtual avatar generation. Most of the existing makeup transfer methods are based on the generative adversarial networks. Despite their success in makeup transfer for a single image, they struggle to maintain the consistency of makeup under different poses and expressions of the same person. In this paper, we propose a robust makeup transfer method which consistently transfers the makeup style of a reference image to facial images in any poses and expressions. Our method introduces the implicit 3D representation, neural radiance fields (NeRFs), to ensure the geometric and appearance consistency. It has two separate stages, including one basic NeRF module to reconstruct the geometry from the input facial image sequence, and a makeup module to learn how to transfer the reference makeup style consistently. We propose a novel hybrid makeup loss which is specially designed based on the makeup characteristics to supervise the training of the makeup module. The proposed loss significantly improves the visual quality and faithfulness of the makeup transfer effects. To better align the distribution between the transferred makeup and the reference makeup, a patch-based discriminator that works in the pose-independent UV texture space is proposed to provide more accurate control of the synthesized makeup. Extensive experiments and a user study demonstrate the superiority of our network for a variety of different makeup styles.

Improvement Strategy Knowledge and Skills of Daily Makeup for Household Women and Working Women

Semarang city has 16 sub-districts, of which Gunungpati sub-district is Wrong One among them. Subdistrict This location not enough more from 30 kilometers from Semarang toward north. Subdistrict Mount Pati Alone own number of villages 16 fruit And village Patemon is Wrong one of them. Inhabitant Which stay in village The majority of housewives in RW 07 are Aanita office workers, lecturers And nurse. One of the characteristics of modern women today this is a woman who does personal care and makeup in daily activities. Applying makeup for women office workers useful for supporting a more visible appearance beautiful and can increase women 's self-confidence at work. Woman Which Work office often meet with clients, this of course makes women in the profession as an office worker requires knowledge of daily makeup as supporting their appearance so that they are more confident when meeting clients. Constraint Which faced para Mother House the stairs especially Mother worker in village Patemon RW 07 The first is a lack of knowledge about daily make-up according to type facial skin and face shape, both require training on daily make-up that is appropriate to the face shape and skin type for outdoor activities. office, and to add ability in skills make-up face Which can used Also in add income family.

Conditional reiterative High-Fidelity GAN inversion for image editing

Our work introduces a conditional reiteration mechanism for High-Fidelity GAN (Generative Adversarial Networks) inversion (HFGI), preserving image-specific details (like background, appearance, etc.) for both normal and out-of-domain images (e.g. heavy makeup faces). The HFGI encoder’s single-stage conditional latent maps result in blurry regions in restored images and loss of detailed information during editing. To address this, we proposed a reiterative conditional latents method that restores image-specific details sharply. The process involves two stages of iterations, reconstructing the image in the first stage, and refining image-specific details using conditional latent codes in the second stage. Our model successfully inverts out-of-domain images while preserving all details and supports InterfaceGAN, GANspace, and StyleClip for editing. We compare our approach with state-of-the-art GAN inversion methods on FFHQ (Flickr-Faces-HQ) Dataset, demonstrating significant improvements in inversion and editing quality.

Pengembangan Video Tutorial Make Up Flawless Pada Modifikasi Tata Rias Pengantin Sunda Putri

Abstract
 The development of this video tutorial was carried out to provide benefits and explanations to students and the public regarding the development of facial make-up for traditional Sundanese female brides, becoming modified Sundanese female brides which are currently trending, namely Flawless Make-up, flawless make-up which has characteristics such as natural make-up with use colors that are still soft natural, that is, you still look like you are wearing make up but with neater and glowing results, for example using soft pink and soft peach colors. The aim of this research is to produce a Video Tutorial for Flawless Make Up on Modifying Sundanese Women's Bridal Makeup that is suitable for production. This research method uses the ADDIE R&D research model which is used to produce certain products and test the effectiveness of the video. The process in this video consists of pre-production planning, production, post-production, research process, data processing and research results. The results of making this video tutorial meet the validation criteria obtained by material and professional experts, namely 81% and by media experts, 100%. It can be concluded that this video is very suitable to be used as a learning medium for students in the Indonesian Bridal course in the Middle Part of the Cosmetology Study Program.

Pengaruh Penggunaan Mixing Foundation dengan Teknik Bakar Terhadap Kulit Wajah Bekas Jerawat Bopeng

The foundation mixing technique is a development in facial makeup techniques. One technique so that the mixed foundation is evenly mixed is to use the foundation burn technique. This can help maximize foundation mixing and cover problematic parts of the face to make it look more perfect. These two techniques can produce long-lasting and smoother facial makeup results. The aim of this research is to determine the effect and comparison of the results of mixing foundation with the burning technique and the results of mixing foundation without the burning technique. The method used in this research is True Experimental. Data analysis techniques Normality Test, Homogeneity Test, t Test and Duncan Test. The results of the analysis show that there is an effect of using mixed foundation without burning technique on the durability indicator X1 (2.28) which is significantly different from mixing foundation with burning technique X2 (3.85). The results of the analysis of the effect of using mixed foundation without burning techniques on the covering power indicator X1 (2.85) are significantly different from mixing foundations using burning techniques X2 (3.14).

Photoprotective and antioxidant properties of scytonemin isolated from Antarctic cyanobacterium Nostoc commune Vaucher ex Bornet & Flahault and its potential as sunscreen ingredient

In the cosmetic industry there is an increasing demand for substances obtained from natural sources that can replace synthetic ones. Due to consumer demand for a protective filter with (SPF) labels in sunscreens, moisturizers, face make-up, and lipsticks worldwide, they produce tonnes of such products every year. Many species of cyanobacteria live in extreme environments, including sites with excessive doses of sunlight and drought. To survive in such extreme conditions, they produce compounds that allow both protection against ultraviolet radiation (UV), as well as the substances that are responsible for reducing oxidative stress. The aim of this study was to isolate, identify, and test the biological potential of the secondary metabolite scytonemin from the cyanobacterium Nostoc commune Vaucher ex Bornet et Flahault collected in Antarctica. The photoprotective effect was evaluated by the measurement of the sun protection factor (SPF) and the antioxidant activity was determined by two different assays including superoxide anion scavenging activity and free radical scavenging activity based on the amount of substance. An estimated SPF value of 33.34 ± 0.02 demonstrated that scytonemin might serve as a topically applicable ingredient for natural UV sunscreen cream.

Water-Based Additive-Free Chromic Inks for Printing of Flexible Photochromics and Electrochromics.

Digital inkjet printing has become one of the most convenient and efficient technologies for coating chromic materials on flexible substrates with complicated patterns. However, the development of water-based, additive-free chromic inks for inkjet printing still remains a challenge. Herein, three ammonium-functionalized colorless viologen derivatives AV, APV, and AQV with excellent water solubilities are utilized as chromes in the chromic inks due to their excellent photochromic and electrochromic properties. Water, ethanol, and ethylene glycol are selected as cosolvents, and their contents in this ternary solvent system have been optimized to achieve comprehensive rheological properties. With the H2O:EtOH:EG weight ratio of 8:1:7, the chromic ink based on AV realizes a viscosity of 4.69 mPa·s, a surface tension of 45.13 mN/m, and a Z value of 3.87. Without adding any additive, the as-prepared chromic inks can be printed on flexible substrates, such as paper and poly(ethylene terephthalate) (PET) films, by a conventional inkjet printer with inherent high resolutions. The printed patterns are initially invisible due to the colorless characteristics of the chromic inks. Interestingly, the printed films are responsive to both light and electric stimuli. Upon irradiation by UV light, a series of sentences with font sizes from 5 to 12 points and four quick response codes with different lattice resolutions clearly appear on the printed paper. Meanwhile, after printing on an indium tin oxide-coated PET substrate, electrochromic devices (ECDs) can be facilely fabricated by covering a hydrogel electrolyte on the printed films. Upon application of different potentials, the assembled ECDs exhibit "Peking Opera facial makeup" patterns with different colors. Therefore, the developed water-based additive-free chromic inks can be utilized for information display and encryption applications.

Bentuk Penyajian Tari Pilanuk di Kecamatan Sungai Ambawang Kabupaten Kubu Raya Kalimantan Barat

The background of this research is because of the researcher's concern about the authenticity of the Pilanuk Dance performance, which in the future will experience changes. Therefore the researcher describes and documents the Pilanuk Dance in the form of videos, writings, pictures. This study uses descriptive methods, qualitative research forms, ethnochoreological approaches and choreographic approaches. Data collection techniques in the form of observation techniques, interview techniques, and documentation techniques. The technique to test the validity of the data used is the extension of observations and source triangulation. Based on the data analysis, it was concluded that the form of presentation of the Pilanuk Dance has a movement structure, namely the opening movement, the core movement which consists of agile footsteps and closing movements. The number of dancers must be even, namely 8 and so on. This dance can be danced by both men and women. The floor pattern is in the form of straight lines, circles and plus signs which are interpreted as the direction of the compass. drum). The costumes used by female dancers are traditional Dayak Kanayant clothes, skirts, shawls, headbands, roof tiles, obi/belts, necklaces, earrings, rinyuakng leaves. For male costumes, they use loincloths, scarves, headbands, tiles, necklaces, rinyuakng leaves, obi/belt. The facial makeup used by dancers is natural makeup. The place for the performance uses an open stage or the hall of a traditional house.

Personalized facial makeup transfer based on outline correspondence

AbstractMost existing makeup transfer techniques focus on light makeup styles, which limits the task of makeup transfer to color manipulation issues such as eye shadow and lip gloss. However, the makeup in real life is diverse and personalized, not only the most basic foundation, eye makeup, but also the painted patterns on the face, jewelry decoration and other personalized makeup. Inspired by the painting steps of drawing the outline first and then coloring, we propose a makeup transfer network for personalized makeup, which realizes face makeup transfer by learning outline correspondence. Specifically, we propose the outline feature extraction module and outline loss that can promote outline correspondence. Our network can not only transfer daily light makeup, but also complete transfer for complex facial painting patterns. Experiments show that our method can obtain visually more accurate makeup transfer results. Quantitative and qualitative experimental results show that the method proposed in this paper achieves superior results in extreme makeup transfer compared to the state‐of‐the‐art methods.

Potential Carcinogens in Makeup Cosmetics.

Facial makeup cosmetics are commonly used products that are applied to the skin, and their ingredients come into contact with it for many years. Consequently, they should only contain substances that are considered safe or used within an allowable range of established concentrations. According to current European laws, all cosmetics approved for use should be entirely safe for their users, and the responsibility for this lies with manufacturers, distributors, and importers. However, the use of cosmetics can be associated with undesirable effects due to the presence of certain chemical substances. An analysis of 50 random facial makeup cosmetics commercially available on the European Union market and manufactured in six European countries was carried out, concerning the presence of substances with potential carcinogenic properties, as described in recent years in the literature. Nine types of facial makeup cosmetics were selected, and their compositions, as declared on the labels, were analyzed. The carcinogens were identified with information present in the European CosIng database and according to the Insecticide Resistance Action Committee's (IRAC) classification. As a result, the following potential carcinogens were identified: parabens (methylparaben, propylparaben, butylparaben, and ethylparaben), ethoxylated compounds (laureth-4, lautreth-7, or ethylene glycol polymers known as PEG), formaldehyde donors (imidazolidinyl urea, quaternium 15, and DMDM hydantoin), and ethanolamine and their derivatives (triethanolamine and diazolidinyl urea), as well as carbon and silica. In conclusion, all of the analyzed face makeup cosmetics contain potential carcinogenic substances. The literature review confirmed the suppositions regarding the potential carcinogenic effects of selected cosmetic ingredients. Therefore, it seems necessary to carry out studies on the long-term exposure of compounds present in cosmetics and perhaps introduce stricter standards and laws regulating the potential presence of carcinogens and their activity in cosmetics.