Facial Aging Research Articles

Building Face Ageing Model Using Face Synthesis

Advancements in face synthesis technology have enabled innovative methods for modeling facial aging. This research paper focuses primarily on creating a robust face aging model using deep learning and Generative Adversarial Networks (GANs), trained on a diverse dataset of facial images. The proposed approach captures both global features and local textures to produce realistic age-progressed images while preserving the subject's identity. This paper also examines face synthesis techniques, with specific emphasis for the various practical usage of GANs. The key objective of our project is to upgrade both the discriminator and the generator parts of GANs to generate more realistic, age- progressed face images. We evaluated the model using quantitative metrics and qualitative assessments, demonstrating its effectiveness. Additionally, we address ethical considerations, proposing guidelines for responsible use. Our study offers a novel framework with significant applications in security, forensics, and entertainment, and suggests future research directions to improve accuracy and ethical standards.

Impact of childhood maltreatment on aging: a comprehensive Mendelian randomization analysis of multiple age-related biomarkers

BackgroundChildhood maltreatment (CM) is linked to long-term adverse health outcomes, including accelerated biological aging and cognitive decline. This study investigates the relationship between CM and various aging biomarkers: telomere length, facial aging, intrinsic epigenetic age acceleration (IEAA), GrimAge, HannumAge, PhenoAge, frailty index, and cognitive performance.MethodsWe conducted a Mendelian randomization (MR) study using published GWAS summary statistics. Aging biomarkers included telomere length (qPCR), facial aging (subjective evaluation), and epigenetic age markers (HannumAge, IEAA, GrimAge, PhenoAge). The frailty index was calculated from clinical assessments, and cognitive performance was evaluated with standardized tests. Analyses included Inverse-Variance Weighted (IVW), MR Egger, and Weighted Median (WM) methods, adjusted for multiple comparisons.ResultsCM was significantly associated with shorter telomere length (IVW: β = − 0.1, 95% CI − 0.18 to − 0.02, pFDR = 0.032) and increased HannumAge (IVW: β = 1.33, 95% CI 0.36 to 2.3, pFDR = 0.028), GrimAge (IVW: β = 1.19, 95% CI 0.19 to 2.2, pFDR = 0.040), and PhenoAge (IVW: β = 1.4, 95% CI 0.12 to 2.68, pFDR = 0.053). A significant association was also found with the frailty index (IVW: β = 0.31, 95% CI 0.13 to 0.49, pFDR = 0.006). No significant associations were found with facial aging, IEAA, or cognitive performance.ConclusionsCM is linked to accelerated biological aging, shown by shorter telomere length and increased epigenetic aging markers. CM was also associated with increased frailty, highlighting the need for early interventions to mitigate long-term effects. Further research should explore mechanisms and prevention strategies.

Unveiling the causal relationship between circulating levels of micronutrients and risk of facial aging: A Mendelian randomization study.

Facial aging involves a continuous sequence of complex, interrelated events that impact numerous facial tissues. The aim of the study was to elucidate the casual relationship between circulating micronutrients and risk of facial aging. A two-sample Mendelian randomization analysis was performed using genetic data from genome-wide association studies. The inverse-variance weighted method is used for causal effect estimation, and additional tools such as Mendelian randomization-Egger, weighted median, simple mode, and weighted mode were used to refine the analysis. We conducted an in-depth examination of the correlation between several micronutrient blood levels and the risk of facial aging, and identified 3 key micronutrients (selenium, carotene, and iron) that may have a significant impact on skin health. Inverse-variance weighted results indicate that selenium levels were positively correlated with the risk of facial aging (odds ratio [OR] 1.005, P = .027), while a negative causal effect of carotene (OR 0.979, P = .024) and iron (OR 0.976, P = .009) on age-related facial alterations was observed. This study offers a new and insightful perspective on the current understanding of antiaging strategies, particularly the importance of appropriate consumption of essential micronutrients to maintain healthy skin condition.

The gut-facial aging axis: A two-sample Mendelian randomization and mediation analysis of gut microbiota, gut microbiota metabolic pathways, and blood metabolites.

Facial aging (FA) is a complex process influenced by both genetic and environmental factors. Gut microbiota (GM), gut microbiota metabolic pathways (GMMPs), and blood metabolites (BMs) have been implicated in the regulation of FA, but the causal and mediating effects of these factors remain unclear. We used summary-level data from genome-wide association studies (GWAS) of 16S rRNA gene sequencing data for GM (n=18 340), GWAS of GMMPs (n=7738), BMs (n=24 925), and GWAS of FA (n=423 999). We applied Mendelian randomization (MR) methods to estimate the causal effects of GM, GMMPs, and BMs on FA. We performed mediation analysis to quantify the proportion of the effects mediated by blood metabolites. We identified nine genus, two phylum, two families of GM, nine GM metabolic pathways, and 73 BMs that showed potential causal effects on FA. After Bonferroni correction, three BMs remained causally associated with FA, including average number of methylene groups per double bond (β, -0.023; 95% CI, -0.032∼-0.014; p=3.120×10-7) and average number of methylene groups in a fatty acid chain (β, -0.031; 95% CI, -0.045∼-0.016; p=2.062×10-5), which had strong negative causal effects on FA, and ratio of bisallylic groups to total fatty acids (β, 0.023; 95% CI, 0.017∼-0.029; p=8.441×10-15), which had a strong positive causal effect on FA. Mediation analysis revealed that histidine, average number of methylene groups in a fatty acid chain, and triglycerides in chylomicrons and largest VLDL particles mediated the effects of anaerofilum and/ or superpathway of Laspartate and Lasparagine biosynthesis on FA. Our study provides novel insights into the causal and mediating effects of GM, GMMPs, and BMs on FA. These findings may have implications for the development of new strategies for preventing or delaying FA.

AI-enhanced "Two-thirds Guidelines" for Lipolifting: Addressing Multiple Hallmarks of Facial Aging.

Facial aging involves complex changes such as volume loss, ligament weakening, and skin quality alterations. The "two-thirds guidelines" emerge as a novel strategy to combat these aging signs, drawing from an extensive analysis of 2800 facial fat grafting procedures conducted over two decades. Guided by facial lipolifting data, including patient age, fat type (microfat and nanofat), and injection depth, this study devises a systematic framework for multilayer fat rejuvenation and ligament restoration. The two-thirds guidelines advocate injecting two-thirds of the patient's age for microfat and one-third for nanofat, with specific injection codes for lower, middle, and upper facial regions. A prospective study involving 400 patients confirms the efficacy of the two-thirds guidelines. However, applicability may vary for patients outside SD ranges, particularly concerning facial proportions and body mass index. Patients within the golden ratio range (1.4-1.9) report high satisfaction rates and a 50% fat graft uptake, with minimal complications. For patients outside this range, an artificial intelligence (AI) program was implemented. The two-thirds guidelines offer a comprehensive approach to facial rejuvenation, addressing volume loss, ligament weakening, and skin quality. They are applicable in early aging stages, promising enduring and natural outcomes while mitigating effects of weight fluctuations. These guidelines provide a safe, replicable, and adaptable approach to facial fat grafting, either standalone or in combination with facelift techniques, with minimized overfilling risks. A dataset obtained from 2800 patients serves as the foundation for developing an AI program tailored to aid doctors in diagnosing and treating similar cases.

MeshWGAN: Mesh-to-Mesh Wasserstein GAN With Multi-Task Gradient Penalty for 3D Facial Geometric Age Transformation.

As the metaverse develops rapidly, 3D facial age transformation is attracting increasing attention, which may bring many potential benefits to a wide variety of users, e.g., 3D aging figures creation, 3D facial data augmentation and editing. Compared with 2D methods, 3D face aging is an underexplored problem. To fill this gap, we propose a new mesh-to-mesh Wasserstein generative adversarial network (MeshWGAN) with a multi-task gradient penalty to model a continuous bi-directional 3D facial geometric aging process. To the best of our knowledge, this is the first architecture to achieve 3D facial geometric age transformation via real 3D scans. As previous image-to-image translation methods cannot be directly applied to the 3D facial mesh, which is totally different from 2D images, we built a mesh encoder, decoder, and multi-task discriminator to facilitate mesh-to-mesh transformations. To mitigate the lack of 3D datasets containing children's faces, we collected scans from 765 subjects aged 5-17 in combination with existing 3D face databases, which provided a large training dataset. Experiments have shown that our architecture can predict 3D facial aging geometries with better identity preservation and age closeness compared to 3D trivial baselines. We also demonstrated the advantages of our approach via various 3D face-related graphics applications.

The Experience in Lower Eyelid Blepharoplasty: Improvement of Surgical Procedures Based on Anatomical Basis.

This study characterizes the appearance changes associated with aging of the human lower eyelid, grounded in its anatomical basis. Tailored approaches to lower eyelid bag are performed by these anatomical manifestations. From January 2017 to January 2023, lower eyelid blepharoplasty was performed on 137 patients, aged 20 to 60 years. These patients were divided into 3 groups according to the periorbital aging appearance, primarily characterized by the presence and location of the "bag" bulge of the lower eyelid. We analyzed the corresponding changes in anatomical structures for each type, which included a weakened fibrous orbital support system, reduced muscle tone, and increased orbital fat. Patients were treated with tailored blepharoplasty techniques according to their classification. All patients in this study ranged in follow-up from 1 to 12 months. With patients' permit, photographs and clinical information were taken to evaluate the preoperative and postoperative outcome. Our study identified 3 morphologies of the lower eyelid. Type 1 presents a "bubble bag" in the medial and inferior aspect of the lower eyelid. Type 2 features a double convexity contour, with separate fat pad herniations demarcated by fibrous connective tissue. Type 3 exhibits a single convexity with a uniform herniation of fat pads across the entire lower eyelid. We have delineated the anatomical changes associated with each morphology type. With an approach grounded in "remodeling" and "recovery," the surgical treatment targets the fibrous support tissue to improve the outcomes of lower eyelid rejuvenation. No complications occurred. All postoperative results reached both surgeon's and patient's expectations. Surgeons must recognize the pivotal role of fibrous connective tissues-including the arcuate expansion, fascia of the inferior oblique muscle, and the orbicularis retaining ligament-and endeavor to preserve or reinforce these structures during surgical procedures. An anatomically based surgical approach would more effectively and safely to resist the facial aging process.

Neurotoxins and Combination Therapies.

Facial aging involves multilevel changes, extending from the skin to deep support structures. A comprehensive treatment approach targeting the many aspects of facial dynamics and architecture is often necessary to achieve optimal correction, prevent changes before they occur, and/or help highlight inherited features. To explore the integration of botulinum toxin type A (BoNT-A) into multimodal aesthetic treatment plans. This article reviews evidence supporting the combination of BoNT-A with other minimally invasive cosmetic therapies, including dermal fillers, lasers, and energy-based devices as well as with plastic and reconstructive surgeries for more controlled healing and improved scar cosmesis. Combination treatment protocols including BoNT-A demonstrate higher patient satisfaction and retention rates compared to monotherapy or sequential treatments. Some guidelines for sequencing of treatments exist, but evidence is scant with certain combinations. Integrating BoNT-A into a larger aesthetic treatment plan is crucial for achieving natural and satisfying results in facial rejuvenation. Evidence supports better outcomes when incorporating with both surgical and nonsurgical modalities. Understanding how to address anatomy over time through different aesthetic therapies together allows for individually tailored, more deeply impactful treatment plans.

Volumétrie frontotemporale pour rajeunir et re-féminiser le visage

The author became interested in facial volume in the 1990s, during the period when he oversaw the feminization of the facial skeleton to improve the social integration of male transsexual patients. At that time, it was skeletal surgery. Very quickly, these techniques were extended to genetic women who wanted a more feminine face. The study of facial aging allowed the author to define criteria for frontotemporal aging, particularly an evolution with age towards a frontotemporal masculinization. The volumetric frontotemporal correction has thus become an essential element of facial rejuvenation. The evolution then, naturally took place towards the concept of frontotemporal beauty.

Les injections du front : anatomie, techniques, produits

Knowledge of anatomy not only allows optimal treatment and therefore full satisfaction of our patients, but is also fundamental in the prevention of complications. A thorough understanding of aging allows for effective treatments, as most patients demand a natural result, removing the inevitable signs of aging, which can only be understood by considering their aging. Facial aging is a natural but complex multifactorial process, particularly for the forehead. In this article, we will focus on botulinum toxin as well as fillers in aging.

Age-dependent changes in skin features and perceived facial appearance in women of five ethnic groups.

Research documents effects of skin features on assessments of age, health and attractiveness of female faces. Ethnic variation also has been reported for the impact of age-related changes in skin features on face assessments. Here, we investigate women's self-ratings across age cohorts and ethnic groups and discrepancies with (non-expert) assessor ratings of facial appearance together with age-dependent changes in skin features. Faces of women 20-65 years from five ethnic groups (each n = 36) were imaged. Participants provided self-ratings of age, health and attractiveness, and were judged on these attributes by members of the same ethnic group (each n = 120). Digital image analysis was used to quantify skin gloss, tone evenness, wrinkling and sagging. Age-dependent changes in ratings and skin features within and between ethnic groups were assessed by comparing information from 10-year cohorts. We also tested whether menopausal status could be predicted by self-ratings, assessor ratings and image-based skin features. Women of all ethnic groups judged themselves younger and higher in attractiveness and health compared to third-party assessors, with the largest discrepancies for age in French women and for attractiveness and health in South African women. In Indian and South African women, specular gloss and skin tone evenness were lower compared to other participants, and sagging was higher in Indian, Japanese and South African women compared to Chinese and French women. Women's menopausal status could be predicted from assessor ratings and image-based skin features but not from self-ratings. There are differences between women's self-ratings and assessor ratings of facial appearance. These discrepancies vary with female age and ethnicity. Age and ethnicity effects also are evident in age-dependent changes in skin features within and across ethnic groups, which together with assessor (but not self-) ratings of facial appearance predict menopausal status.

Realistic Facial Age Transformation with 3D Uplifting

AbstractWhile current facial re‐ageing methods can produce realistic results, they purely focus on the 2D age transformation. In this work, we present an approach to transform the age of a person in both facial appearance and shape across different ages while preserving their identity. We employ an α‐(de)blending diffusion network with an age‐to‐α transformation to generate coarse structure changes, such as wrinkles. Additionally, we edit biophysical skin properties, including melanin and hemoglobin, to simulate skin color changes, producing realistic re‐ageing results from ages 10 to 80 years. We also propose a geometric neural network that alters the coarse scale facial geometry according to age, followed by a lightweight and efficient network that adds appropriate skin displacement on top of the coarse geometry. Both qualitative and quantitative comparisons show that our method outperforms current state‐of‐the‐art approaches.

Is the Severity of Preoperative Eyelid Dermatochalasis Directly Correlated with Patient Satisfaction After Upper Blepharoplasty? A Prospective Study Based on PROMs.

Facial ageing, particularly in the periorbital region, is a growing concern in contemporary culture. Upper blepharoplasty, a widely performed cosmetic surgery, addresses both aesthetic and functional issues related to eyelid dermatochalasis. This study aims to investigate patient satisfaction, the relationship between satisfaction and preoperative dermatochalasis severity, and the functional impact of preoperative skin excess. A prospective study was conducted from April 2022 to April 2023, evaluating primary upper blepharoplasty outcomes. Patient-reported outcomes were measured using the FACE-Q questionnaire, assessing quality of life and satisfaction. Preoperative symptoms were evaluated using a functional questionnaire. Dermatochalasis severity was classified into three groups. Statistical analyses were performed using SPSS. Seventy-nine patients met inclusion criteria. Postoperative FACE-Q results demonstrated significant improvements in upper eyelid appraisal and satisfaction with eyes. Functional questionnaire results indicated an overall clinical improvement (p<0.01). Visual field tests showed statistically significant improvement in group 3. No correlation was found between preoperative dermatochalasis severity and postoperative aesthetic satisfaction. The study emphasizes the importance of validated questionnaires, particularly FACE-Q, in evaluating patient satisfaction and discomfort with upper lid ageing. Regardless of functional impairments, any degree of dermatochalasis may warrant treatment to ensure patient satisfaction with the cosmetic outcome. On the other hand, the functional benefits and improvements in the visual field also support the impact that the procedure has beyond purely aesthetic aspects. This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Neuromuscular electrical stimulation for facial wrinkles and sagging: The 8-week prospective, split-face, controlled trial in Asians.

This study aims to fill the knowledge gap regarding the effects of high frequency facial neuromuscular electrical stimulation (fNMES) on facial aging, using a device equipped with CERTEC (Cell Energy Regeneration Technology) operating between 40 and 190 kHz. This prospective split-face study was conducted at Tokyo University Hospital between March and May 2023 with 24 healthy adult women aged 30-59. The intervention group used the fNMES device along with basic skin care on one side of the face, and basic skin care alone on the other side for 8 weeks. Evaluations included changes in skin wrinkles, sagging, and blood flow. This study found significant improvements in skin elasticity and degree of wrinkles in the areas intervened with fNMES (p < 0.05, respectively). In addition, the intervention resulted in significant improvements in jawline angle (p < 0.01), submental volume (p < 0.05), cheek volume (p < 0.05), maximum nasolabial fold depth (p = 0.03), and total volume of the nasolabial folds (p = 0.03). The fNMES intervention also showed improvement in blood flow (p < 0.05). These improvements were also subjectively assessed by the participants in subject questionnaires at 8 weeks after the intervention (p < 0.05). This study suggests that high frequency fNMES effectively improves facial skin elasticity, reduces wrinkles and sagging, promotes blood flow, and contributes to overall facial appearance rejuvenation. Although further studies are needed, high frequency fNMES appeared promising as a noninvasive anti-aging therapy.

A clinical and novel dermoscopic investigation of combined peels as a hand aging treatment.

The hands are one of the areas where skin aging is most noticeable, alongside the face, but limited studies used dermoscopic evaluation on hand aging. The Dermoscopy Photoaging Scale (DPAS) is frequently used to assess face aging but is never used for hand aging. Treating skin aging using chemical peeling is a commonly used method to rejuvenate the skin on the hands, as it is relatively affordable. Using multiple chemical peels may yield more significant results. To determine the effectiveness of a chemical peeling combination in retarding hand aging and to assess the utility of DPAS in this process. This study involved 69 Fitzpatrick skin types III-IV volunteers aged 20-69. One hand of each participant was treated with 20% glycolic acid (GA), while the other received a combination of peels consisting of 20% GA and 15% trichloroacetic acid (TCA). The hands were clinically examined before and after the treatments, and dermoscopic examinations were performed using a modified DPAS. Four treatments improved clinical and dermoscopic characteristics in both hands. The combined peeling considerably improved pigmentation intensity on the dorsal hand compared to the GA peel (p < 0.001). Post-chemical peeling patient satisfaction increased significantly. The modified DPAS is a valuable instrument to assess the signs of hand aging. The combination of GA and TCA effectively improves skin aging of the hands and offers an accessible and economical option for addressing skin aging.

The Causal Relationship Between Skin Microbiota and Facial Aging: A Mendelian Randomization Study.

Facial aging is a complex process influenced by environmental factors, genetics, and lifestyle. The contribution of the skin microbiota to this process remains poorly understood. This two-sample Mendelian randomization (MR) study was performed using genome-wide genotype data from the UK Biobank and previously published studies on skin microbiota. The primary approach for MR analyses included inverse-variance weighting (IVW), MR-Egger regression, simple mode, weighted median, and weighted mode methods. Sensitivity analyses were performed to assess heterogeneity and pleiotropy, and reverse-direction MR analyses were performed to evaluate potential reverse causation. The MR analysis identified ten skin microbiotas with potential causal relationships with facial aging. Protective skin microbiotas included Genus Finegoldia, ASV011 [Staphylococcus (unc.)], ASV008 [Staphylococcus (unc.)], phylum Firmicutes, Family Rhodobacteraceae, and ASV021 [Micrococcus (unc.)], which were negatively associated with facial aging. Conversely, Order Pseudomonadales, Family Moraxellaceae, ASV039 [Acinetobacter (unc.)], and phylum Bacteroidetes were positively associated with facial aging, indicating a risk factor for accelerated aging. Sensitivity analyses confirmed the robustness of these findings, and reverse-direction MR analyses did not suggest any reverse causation. This study identified specific skin microbial that may influence facial aging and offered new insights into the rejuvenation strategies. This journal requires that authors assign a level of evidence to each submission to which Evidence-Based Medicine rankings are applicable. This excludes Review Articles, Book Reviews, and manuscripts that concern Basic Science, Animal Studies, Cadaver Studies, and Experimental Studies. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Profhilo® Structura, Current Status and Future Perspectives: A Practical Review.

Hyaluronic acid (HA)-based injectables continue to grow in popularity and are used worldwide to improve facial changes associated with aging. Profhilo® Structura (IBSA Farmaceutici Italia, Lodi, Italy) is a novel HA-based product that uses nano hybrid complex of hyaluronic acid (NAHYCO)® technology to create hybrid cooperative complexes consisting of high and low molecular weight HA. Profhilo® Structura's high concentration (45 mg of total HA) and rheological properties (ie, viscosity [resistance to flow] and elasticity [stickiness]) have been specially formulated to restore facial adipose tissue. Because of their early involvement in the facial aging process, the superficial medial and lateral-temporal cheek fat compartments are good candidates for treatment. However, recommendations and guidelines are necessary to ensure that treatment is safe and effective. Three experts were invited to IBSA Farmaceutici Italia Srl to discuss clinical rationale, optimal injection techniques, and clinical outcomes for treating the superficial medial and lateral-temporal cheek fat compartments with Profhilo® Structura. These techniques were developed using patients presenting with either initial hypotrophy of fat compartments within the preauricular area (ie, sinkers) or jowl sagging due to hypotrophy within the preauricular and zygomatic areas (ie, saggers). Targeting these areas using the optimal injection site can maximize product diffusion and minimize the risk for vascular compromise. Targeting these areas also leads to lateral tightening and lipolifting effects due to adipose tissue restoration. The experts agreed that Profhilo® Structura is currently the first and only HA-based injectable treatment that can integrate and restore the adipose tissue in these affected fat compartments.

Smoking and the rate of aging: the current state of the issue

A narrative review was conducted to assess the impact of smoking on health and the rate of aging at different stages of a person’s life. The relationship between smoking and various markers of aging was considered in the review. Data from a Mendelian-type study that assessed the genetic predisposition to smoking and the length of telomeres were presented. The effect of smoking on brain aging and facial aging was analyzed separately. Provided data highlights the significance of timely smoking cessation in slowing down the rate of aging.

Facial skin rejuvenation with poly-l-lactic acid (PLLA): Four case studies

Background: Facial aging is characterized by the decline and loss of skin structure. Poly-l-lactic acid (PLLA) is a biopolymer and biodegradable injection material that functions as a collagen stimulator. This active ingredient works by stimulating the formation of skin collagen after interacting with the PLLA crystal component. The expected final result is an increase in the skin volume with the thickening and increased density of the skin layers due to collagen remodeling. At present, data on the application of PLLA for facial photorejuvenation remains limited. Case Illustration: Four patients aged 22-49 years old, with different severity of aging, underwent PLLA injection procedures. The active component was administered through injection with a dilution ratio of 1:1 to 1:2 for the cheeks and temporal area and without dilution for the forehead, smile lines, and chin area. After the injection, a gentle massage was performed, and the patient was instructed to self-massage every day. Each patient was evaluated on the twentieth day and underwent additional injection sessions up to two times. Discussion: All patients showed improvement as assessed using photography and the Global Aesthetic Improvement Scale (GAIS) 20 days after the procedure. All patients were satisfied with the final result. There was no significant pain during the procedure. Conclusion: PLLA injection is a safe and effective procedure that stimulates the formation of new collagen adequately. Patient satisfaction with the treatment was excellent, and no complications were observed in all patients.

Mixture of deep networks for facial age estimation

In this paper, our objective is to simultaneously explore the learning of ordinal relationships among age labels and address the challenge of heterogeneous data resulting from the non-stationary aging process through an advanced mixture model of deep networks. Drawing upon the pivotal insight that the non-stationary aging process can be decomposed into a series of stationary subprocesses, we employ a divide-and-conquer strategy. This involves initially partitioning the age spectrum into multiple groups and subsequently training a specialized deep network, referred to as an “expert”, for each distinct group. These experts are not functionally independent; instead, they are interconnected through specialized model designs and a joint training mechanism that consolidates them into a unified system. As a result, the learning of ordinal relationships is consistently maintained by solving the age-related tasks across the entire age label set. The final age estimation is accomplished through a hierarchical classification approach, leveraging the collective outputs from all the experts. Extensive experiments involving several well-known datasets for age estimation have demonstrated the superior performance of our proposed model over several existing state-of-the-art methods.