Virtual Try On tool. Makeup Virtual Try-on Maybelline

Virtual Try On tool. Makeup Virtual Try-on Maybelline

Try how a new red lipstick or blue eyeshadow will look on you before buying, without leaving your home. The Virtual Makeup try-on technology available on the Maybelline website allows you to try live all Maybelline Makeup products in your own phone with just a few clicks.

How does it work?

Available at maybelline.com :

• Choose the product you want to try on
• Find good natural light
• Launch your live camera or upload a picture
• Select the shade you would like to try
• And see instantly the result on yourself
• You can see the result of the before/after makeup application, compare between 4 different shades, and share your selfie on social media to ask your friends what they think about your new style.

The technology behind

Thanks to Modiface's Augmented Reality technology, you can shop all the Maybelline products online without being afraid of how it will look on you. It allows you to try on dozen of shades without having to remove your makeup. The Virtual Try-on technology uses an advanced face tracker algorithm that detects where your lips, eyes, cheeck, etc. are and applies virtual cosmetics on this zone. You can move your head and mouth and the lipstick will follow your lips realistically.

Privacy and data

We do not store any personal data during this experience. When you share your picture on social media, Maybelline keeps such picture for the time necessary to achieve this purpose then deletes it. Your picture is not used for other purpose than social media sharing. For more information, please see Maybelline privacy policy on their website.

Discover Discover the digital services

Intrigued by how beauty and technology work together? Experience the power of our services and devices. See how ModiFace uses Artificial Intelligence and Augmented Reality. Get up to speed on our latest innovations.

Virtual Try-on garnier. Garnier и прочие бренды L’Oreal

Следующий сервис онлайн подбора красителей представляет французская марка Garnier . Виртуальная примерочная здесь практически такая же, как у Wella, кроме некоторых мелких отличий:

• Garnier не любит Opera: через этот браузер мне не удалось загрузить в него ни одну фотографию. В Google Chrome, Яндекс и Firefox загрузка работает нормально.
• С распознаванием волос на снимке здесь тоже не всё гладко. Если они не слишком контрастируют с одеждой или фоном, программа может принять за волосы и одежду, и фон. Что из этого может получиться, видно на скриншотах ниже.
• Попасть в примерочную можно как с «главного входа» – отдельной страницы сервиса (ссылка приведена выше), так и из карточки каждого продукта.

Как пользоваться виртуальной примеркой Garnier:

1. Кликните «Загрузить фото» и выберите подходящий снимок в формате png или jpg. Если нет фотографии, нажмите кнопку «Примерить онлайн» со значком камеры, включите и наведите последнюю на себя.
2. После загрузки изображения щелкните по образцу цвета в палитре справа.
3. Для сравнения результата виртуальной покраски с тем, что было изначально, используйте разделитель «До и После» (Before & After).
4. При желании сохраните результат на компьютер или поделитесь им в соцсетях, щелкнув кружок «Share» (в желтой рамке на скриншоте выше).

Сервис от Garnier также производит неоднозначное впечатление: поставленную задачу он, конечно, решает, но не факт, что вам захочется выставить «преображенного себя» на всеобщее обозрение. Слишком неаккуратно смотрится покрашенная вместе с волосами одежда. Да и волосы за счет сильного перекрытия текстуры выглядят как грязное пятно. Хотя, вероятно, для хорошего результата нужно более тщательно подбирать фотографию.

А если итог примерки вам все же понравился, закажите краситель в одном из нескольких российских магазинов прямо на сайте.

Ниже – подобные сервисы еще двух производителей средств окрашивания от L’Oreal:

• Matrix Virtual Hair Color Try On – англоязычный ресурс, для доступа к программе примерки цвета необходима регистрация.
• L’Oréal Paris – русскоязычный сайт, не требует регистрации, практически полностью идентичен сервису Garnier.

Virtual Try-on fashion. Описание

Virtually try on fashion, jewelry and designer clothings using your selfie on your iPhone or iPad. Discover fabulous styles that you will love. Find your unique beautiful looks.
Fill your heart with joy and indulge yourself with endless styles delivered from the virtual outfit catalogs. Custom order your favorite fashion or jewelry products. Book virtual styling sessions with stylists.
Love fashion, jewelry and dress up? Take a picture of yourself, add real fashion and jewelry on top of your photos using LookRev virtual outfit app. Easy steps to create and design your own perfect looks. Discover fabulous unique products and brands that you will love, reinvent and create your own personal styles! Save your beautiful looks and share with your family and friends.
Book a virtual stylist is simply a click away. Try on exclusive designer fashion and jewelry in private or group styling sessions. Design your own perfect looks with stylists, pick the products you like and virtually try on with a simple click using your selfie.
Finding the perfect bridal grown for your wedding, exploring exquisite outfits for your special events, LookRev make it easy for you to reinvent your look and find the fabulous outfit matches your taste and the occasion.

Virtual Try-on hair color. Description

Hairstyle Try On - Hair salon App is a virtual hair color changer and haircut simulator.
What kind of haircut do you best fit? Why not try different hair color? Our Hairstyle Try On app enables you to check out what you would look like with different types of hair styles and hair colors on your photo.
All you have to do is select a photo, outline hair and then try on different hairstyles and hair colors. Once your hair makeover is completed, you can save it or share on Instagram, Facebook, Twitter, etc.
Key Features:
1.Hairstyle makeover - Hairstyle try on
Collection of fashionable hairstyles and hair colors. Change a new hair style and color in just seconds.
2. Haircut simulator - Hairstyle camera
Haircut simulator has abundant hairstyles in different lengths and fashionable hairstyles for male and female. Provide you the most realistic hairstyle simulation.
3.Face recognition - Hairstyles to match different face shapes
Smart face recognition technology helps pick out suitable hairstyles to match different face shapes.
4.Hair color changer - Hair color booth
A hair color booth with all kinds of hair colors and fashionable gradient hair color, such as blonde, brunette, red, brown, gray, blowout burgundy chocolate cherry, golden brown, etc.. Super realistic hair coloring to change your hair color and make hair glossier.
Download the Hairstyle Try On app right now and beautify your photo with our amazing hairstyles!
- You can access (long press) https://www.camoryapps.com/netpower/service/hairstyle_en.html to read the Terms of Service
*The price is equivalent to the "Apple App Store Matrix" which is equivalent to the subscription price in US dollars.

Virtual Try-on clothes. Exploring 2D Cloth Transfer onto an Image of a Person

When working on virtual fitting room apps, we conducted a series of experiments with virtual try on clothes and found out that the proper rendering of a 3D clothes model on a person still remains a challenge. For a convincing AR experience, the deep learning model should detect not only the basic set of keypoints corresponding to the joints of the human body. It should also identify the body's actual shape in three dimensions so that the clothing could be appropriately fitted to the body.

Figure 1 : Body mesh detection using DensePose ( source ).

So, it is required to search for simpler alternatives to virtual clothing try-on techniques.

A popular option here is, instead of going for fitting 3D clothing items, working with 2D clothing items and 2D person silhouettes. It is exactly what Zeekit company does, giving users a possibility to apply several clothing types (dresses, pants, shirts, etc.) to their photo.

Figure 2 : 2D clothing try-on, Zeekit ( source , 0:29 - 0:39).

Since the cloth transferring techniques used by the company have not been revealed besides incorporating deep learning models, let's refer to scientific articles on the topic. Upon reviewing several of the most recent works ( source 1 , source 2 , source 3 ), the predominant approach to the problem is to use Generative Adversarial Networks ( GANs ) in combination with Pose Estimation and Human Parsing models. The utilization of the last two models helps identify the areas in the image corresponding to specific body parts and determine the position of body parts. The use of Generative Models helps produce a warped image of the transferred clothing and apply it to the image of the person so as to minimize the number of produced artifacts.