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Showing posts with label Beauty. Show all posts
Showing posts with label Beauty. Show all posts

April 27, 2024

AI in Beauty / Skin Care

Congratz Khusbhu, Mastering Vision + Beauty domain takes well calculated approach. This implementation is great example.

Selecting the right solution approach is the key
  • Decision of Build vs Buy Model 
  • Market testing
  • Model Evaluation
  • Data Compliance
Build is an expensive route in this case as it needs Deep Expertise in Vision plus Data Collection to culture.

Build vs Buy Solutions
Keep Exploring!!!

December 02, 2022

Beauty - Paper - Research Reads / Inspirations

Paper #1 - Modifying Face Image for Ageing Marks using Specialized Filter

  • shrinking image - cv2.INTER_AREA
  • stretching image - cv2.INTER_CUBIC

Key Notes

  • Landmarks points [0-24] represent outer face region.
  • Points [25-32] represent left eyebrow region. 
  • Points [33-41] represent left eye region. 
  • Points [45-51] represent right eyebrow region. 
  • Points [52-59] represent right eye region.
  • Points [ 68-78] represent lip regions and remaining points from [79-99] covers nose position. 
  • Face mask is generated using convex hull Technique [1] using the outer face landmark points.

Transformations

  • We use horizontal and vertical sobel filter for detecting the wrinkles in the specific region. 
  • The average edge strength in each region is defined as the quantification of wrinkles feature.
  • We apply a threshold condition to the edge intensity for getting the correct wrinkles from the image. 
  • Main concentration will be on the forehead and eye corners


Paper # - BEHOLDER-GAN: GENERATION AND BEAUTIFICATION OF FACIAL IMAGES WITH CONDITIONING ON THEIR BEAUTY LEVEL

Key Notes

  • Progressive Growing of GANs (PGGAN) [13] suggested coping with the challenge of generating high-resolution images by learning first through generation of low-resolution images and progressively growing to higher resolutions
  • Another important aspect of GANs is their ability to generate images with conditioning on some attribute
  • CycleGAN, StarGAN

Code - Link

  • This is more useful for cheek/chin expansion


  • To ensure that generated image x indeed corresponds to the correct beauty level Discriminator D predict the beauty level and not just the usual real vs. fake probability

Paper - Facial makeup transfer with GAN for different aging faces

Key Notes

  • Firstly removing the eyebrows and eyelashes of the input image to prepare for the eye makeup transfer


  • Since the information is transferred from pixel to pixel, it needs to be fully aligned before transfering, and then layer is decomposed by the Edge Preserving Smooth Filter

Paper - Facial Makeup Transfer Combining Illumination Transfer

  • Facial makeup, eye shadow and lip makeup are processed by different loss functions, and the three are integrated
  • OpenCV Bilateral Filtering Algorithm [12] to achieve facial smoothing



BasicSR (Basic Super Restoration) is an open-source image and video restoration toolbox based on PyTorch

  •  Real-ESRGAN: A practical algorithm for general image restoration
  •  GFPGAN: A practical algorithm for real-world face restoration
  •  facexlib: A collection that provides useful face-relation functions.
  •  HandyView: A PyQt5-based image viewer that is handy for view and comparison.
  •  HandyFigure: Open source of paper figures

Paper # - Data Article template


Paper - Towards Real-World Blind Face Restoration with Generative Facial Prior

  • GFPGAN consists of a degradation removal module and a pretrained face GAN as facial prior
  • Facial component loss with local discriminators to further enhance perceptual facial details
  • Image Restoration typically includes super-resolution, denoising, deblurring and compression removal
  • Channel Split Operation is usually explored to design compact models and improve model representation ability


  • latent features Flatent to map the input image to the closest latent code in StyleGAN2
  • multi-resolution spatial features Fspatial for modulating the StyleGAN2 features.

Paper - SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception

  • We extracted 84 points as sample points containing facial contour information and shape information of the eyebrow, eyes, mouth, and so on
  • The machinelearning methods we used include SVM regression (SVR), linear regression, pace regression, and Gaussian regression.



Dataset - Link

Paper - Improving Makeup Face Verification by Exploring Part-Based Representations

  • The preprocessing step starts by applying a face detector followed by a 2D facial landmarks estimator, both available in DLib
  • These landmarks are used to align, crop and resize the face thirds and facial parts
  • left periocular, which includes the eye and eyebrow, right periocular, nose and mouth
  • Makeup Face Dataset (EMFD)
  • Youtube Makeup (YMU) Dataset [13]

FA-GANs: Facial Attractiveness Enhancement with Generative Adversarial Networks on Frontal Faces



  • we prefer to enhance facial attractiveness via adjusting the relative distances among important facial components, such as eyes, nose, lip, and chin. 

BeautyGAN - BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network

BeautyGAN

Link1, Link2

Keep Exploring!!!

August 23, 2022

Beauty - Markets - Landscape - Opportunities

Beauty - Markets - Landscape - Opportunities

Paper #1 - Growing a Beauty Business in 2022

  • Merging with the Metaverse - Meanwhile, artificial intelligence (AI) and augmented reality (AR) beauty technology, provider 
  • An NFT is a digital asset that represents real-world objects like art, music, in-game items and videos
  • Consumers will want their digital persona to reflect their identity and individual sense of style
  • Consumers today want transparency. They want safe and high-performing products that are not harmful to the environment

Paper #2 - COSMETICS AND BEAUTY PRODUCTS in Mexico

  • There are three segments within the beauty and personal care sector: the mass segment, the prestige segment and the premium segment. 
  • Mass beauty products represent the highest share (74.05%), followed by premium products (13.94%) and prestige products (12.71%).
  • Generally, European products are considered prestigious or premium, since they cannot compete in price with those produced in Mexico, and are valued for their brand image, quality and medium-high price

Trending

  • Anti-aging products: These are on the rise not only among the older population, but also among younger people.
  • Male hair care products. Men, who are more loyal customers than women, are playing an increasingly important role, and especially in Mexico they are in the habit of using gum or fixative.
  • Ethical, healthy and environmentally friendly products. Also vegan products and with recyclable or biodegradable packaging. Companies must offer ecological and natural solutions. For example, solid formats instead of liquids.
  • Skin and feeding. According to Mintel, the development of new products based on "super-ingredients" such as algae, kale, etc., has tripled in the last 5 years.
  • Personalized beauty: Adaptation of the product to the particular characteristics or tastes of each client.
  • E-commerce is still under developed, but gained importance during the pandemic, in addition to the cost reduction and flexibility it offers. 

Paper #3 - GLOBAL BEAUTY INDUSTRY TRENDS IN THE 21st CENTURY 

  • The time-saving products are a response to the needs of today's ever-busy consumers who want to limit the amount of time spent on their daily beauty routine
  • Long-lasting cosmetics are perceived to have a good price-value ratio, as they can be used more sporadically than the conventional products. Examples include: long-lasting lipsticks, nail polishes and 24-hour moisturizers in skincare
  • What is becoming more and more visible in the global market are organic beauty products – those natural cosmetics, manufactured in accordance to the fair-trade philosophy. 

Paper #4 - THE FUTURE OF BEAUTY

  • The secret is finding a connection between the micro-trend and macro consumer needs, which are readily shifting
  • NATURAL - As with organic food and household supplies, more consumers are becoming interested in natural beauty products
  • PERSONAL - The same shoppers who are redefining what healthier, natural beauty products look like are themselves younger, more racially, culturally and ethnically diverse and cosmopolitan consumers
  • CONNECTED - As more buyers grow increasingly comfortable with incorporating online channels in their paths to purchase, the opportunity for manufacturers and retailers to connect with them is increasing as well.



Paper #5 - 8 Trends impacting the beauty industry

  • The demand for more personalized products and services will continue which means companies must find a delicate balance between standardization and personalization.
  • Consumers would like to make a more informed product decision and so enabling this can mean more brand loyalty.
  • Fitness and health are prioritized
  • Social media has become the new door-to-door for the global beauty industry with more engagement online than ever seen before. Consumer reviews will increase in importance and so greater focus needs to go on the way in which brands facilitate this community feedback and approach.
  • Enhancing consumer convenience such as automated re-ordering based on usage may be an opportunity in the future.
  • To increase loyalty, brands need to give consumers the ability to feedback and influence and this therefore could mean they become more involved in the product design process
  • Product ingredients and where these were obtained will need to be made more available to consumers
  • Consumers place greater emphasis on quality, environmental impact, ethics and sustainability.
  • Use the data gathered to understand shopper interests e.g. bargain-hunters, vegan enthusiasts etc. and design products based on this.

Paper #6 - 2022’s Beauty Trend Forecast Report

  • Retro Hair Revival It’s not just workplaces that are opting for a hybrid model; the infamous ‘70s mullet is making a comeback
  • Body shaping continues to offer variety for those looking for a new silhouette. Traditional body contour continues to trend in popularity (up 35%)
  • Nail art (up 75%) continues to trend with designs that are more intricate than ever
  • Searches for hair Botox were up 22%.

Paper #7 - BEAUTY’S BRIGHTEST TRENDS

  • Online or in-store? Beauty retailers of the future will be adapting to the new shopping habits of consumers
  • Brick-and-mortar Rebound - consumers will once again be visiting stores to play catchup on the time they were stuck at home.
  • Off-Mall Retailers - offering a more curated assortment of products from a variety of categories
  • E-commerce to Stay the Leading Channel - Stores are becoming more digitally oriented with a wider adoption of assisted virtual selling tools
  • In-person professional aesthetic treatments are making a strong comeback

Paper #8 - The Five 2022 Beauty Trends Personal Care Manufacturers Need to Know

  • Trend #1: Consumer demand for ingredient transparency
  • Trend #2: Strong appetite for sustainability
  • Trend #3: Rising demand for personalization
  • At the cutting edge of the industry, personal care brands are using AI and machine learning capabilities to take customer insights to a new level,
  • Delivering fully personalized products using valuable information being generated by every customer interaction. 
  • For instance, skincare brand Atolla is continually adapting its formulations using deep learning technology, while L’Oreal’s Perso at-home skincare and cosmetics device harnesses AI to deliver personal analysis and environmental assessment, combined with customizations to product preference and dispensing methods. 

Paper #9 - BEAUTY T R E N D S R E P O R T 2022

  • With the increase in skincare knowledge comes a focus on skinhealth, not just skin-care, as the way to great skin for life

Best-selling

  • Facial Skincare brands with the biggest growth in sales at Boots this year are science-based brands
  • The rise in living costs doesn’t mean we have to revert to buying throwaway cosmetics. Affordable Beauty doesn’t have to mean compromising on quality or our values either.

Paper #10 - 2022 State of Beauty Industry


Paper #11 - TRENDS & INSIGHTS


Keep Exploring!!!

August 20, 2022

Most impactful keywords in your Search - Fashion & Beauty






Good ranking for these keywords will have good conversions :)

Ref - Link

Keep Exploring!!!



August 15, 2022

Summary Fashion Attributes

Clothing Recommender System

  • Part I : Object Detection
  • Part II : Attribute Tagging
  • Part 3 : Recommendation based on Frequency

Fashion Meets Computer Vision: A Survey


Paper #1 - Progressive Fashion Attribute Extraction

  • Attributes (neck design detailing, sleeves detailing, etc) 



Paper #2 - Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes

  • Low-level attributes of an apparel (for example, neck type, dress length, collar type, print etc)



  • Transfer learning based approach to address the issue of style-based image captioning for a target dataset

Paper #3 - The iMaterialist Fashion Attribute Dataset




Paper #4 - A Deep-Learning-Based Fashion Attributes Detection Model


Paper #5 - FashionSearchNet-v2: Learning Attribute Representations with Localization for Image Retrieval with Attribute Manipulation



Myntra Customization



Occasion based Recommendation system in E-commerce like Amazon, Etsy

Visual Attributes for Fashion Analytics

We use low-level visual features to predict intermediate clothing attributes such as color, pattern, material, or collar type Occasion-oriented clothing recommendation

Attribute Types

Color/ Attributes





More Reads

Fine-Grained Fashion Similarity Prediction by Attribute-Specific Embedding Learning

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June 14, 2022

AI In Beauty / Cosmetics - Sephora Case Study





Key Innovations
  • Assisted Self-Service Model
  • Digital Adoption
  • Beauty Advisor
  • Product Placement / Isles
  • Exclusive private labels
  • Insider programs
Keep Exploring!!!