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公开(公告)号：US20210015240A1
公开(公告)日：2021-01-21
申请号：US16516080
申请日：2019-07-18
Applicant: L'Oreal
Inventor： Christine Elfakhri , Florent Valceschini , Loic Tran , Matthieu Perrot , Robin Kips , Emmanuel Malherbe
Abstract: In some embodiments of the present disclosure, one or more machine learning models are trained to accurately estimate skin color in one or more images regardless of the lighting conditions. In some embodiments, the models can then be used to estimate a skin color in a new image, and that estimated skin color can be used for a variety of purposes. For example, the skin color may be used to generate a recommendation for a foundation shade that accurately matches the skin color, or a recommendation for another cosmetic product that is complimentary with the estimated skin color. Thus, the need for an in-person test of the product is eliminated.
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2.发明授权公开(公告)号：US11521013B2
公开(公告)日：2022-12-06
申请号：US17317742
申请日：2021-05-11
Applicant: L'Oreal
Inventor： Grégoire Charraud , Helga Malaprade , Géraldine Thiebaut , Matthieu Perrot , Robin Kips
Abstract: Embodiments of the present disclosure provide systems, methods, and computer-readable media that use machine learning models to enable computing devices to detect and identify cosmetic products in face images. In some embodiments, a model training system may gather training data for building the machine learning models by analyzing face images associated with tagging data. In some embodiments, a recommendation system may be configured to use the machine learning models generated by the model training system to detect products in face images, and to add information based on the detected products to a look data store, and/or to provide recommendations for similar looks from the look data store based on the detected products.
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公开(公告)号：US20220079325A1
公开(公告)日：2022-03-17
申请号：US17538449
申请日：2021-11-30
Applicant: L'Oreal
Inventor： Christine Elfakhri , Florent Valceschini , Loic Tran , Matthieu Perrot , Robin Kips , Emmanuel Malherbe
Abstract: In some embodiments of the present disclosure, one or more machine learning models are trained to accurately estimate skin color in one or more images regardless of the lighting conditions. In some embodiments, the models can then be used to estimate a skin color in a new image, and that estimated skin color can be used for a variety of purposes. For example, the skin color may be used to generate a recommendation for a foundation shade that accurately matches the skin color, or a recommendation for another cosmetic product that is complimentary with the estimated skin color. Thus, the need for an in-person test of the product is eliminated.
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Patent Agency Ranking
4.发明申请公开(公告)号：US20210264204A1
公开(公告)日：2021-08-26
申请号：US17317742
申请日：2021-05-11
Applicant: L'Oreal
Inventor： Grégoire Charraud , Helga Malaprade , Géraldine Thiebaut , Matthieu Perrot , Robin Kips
Abstract: Embodiments of the present disclosure provide systems, methods, and computer-readable media that use machine learning models to enable computing devices to detect and identify cosmetic products in face images. In some embodiments, a model training system may gather training data for building the machine learning models by analyzing face images associated with tagging data. In some embodiments, a recommendation system may be configured to use the machine learning models generated by the model training system to detect products in face images, and to add information based on the detected products to a look data store, and/or to provide recommendations for similar looks from the look data store based on the detected products.
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公开(公告)号：US20240412463A1
公开(公告)日：2024-12-12
申请号：US18702288
申请日：2022-10-17
Applicant: L'Oreal
Inventor： Robin Kips , Sileye Ba
Abstract: In some embodiments, a computer-implemented method of rendering reference makeup on an input image is provided. A computing system obtains a tensor of neural descriptors that represent attributes of the reference makeup generated by an attribute extractor from a reference image showing the reference makeup. The computing system uses a renderer to generate at least one rendered image based on the input image and the tensor of neural descriptors. The computing system provides the at least one rendered image for display on a display device.
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公开(公告)号：US20240268541A1
公开(公告)日：2024-08-15
申请号：US18568119
申请日：2022-05-09
Applicant: L'Oreal
Inventor： Sileye Ba , Ruowei Jiang , Robin Kips
CPC classification number: A45D44/005 , G06T15/205 , G06V10/82
Abstract: According to one aspect, what is proposed is a method for generating a photorealistic rendering of a cosmetic product, comprising: —obtaining (10, 12) a reference image (Xref) of a real cosmetic product (PC) applied to a first person (P1) and at least one source image (Xjsource) of a second person (P2), —implementing (13) an encoding artificial neural network (E) configured to determine characterizing parameters (E(Xref)) of the cosmetic product (PC) from the reference image (Xref), and then —implementing (14) a realistic physically based rendering engine (R) configured to generate a transformed image (R (Xjsource, E(Xref))) in which a photorealistic rendering of the cosmetic product (PC) is applied to the person (P2) from said at least one source image (Xjsource) based on the characterizing parameters (E (Xref)) of the cosmetic product (PC) that are determined by the encoding artificial neural network (E).
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公开(公告)号：US11191342B2
公开(公告)日：2021-12-07
申请号：US16516080
申请日：2019-07-18
Applicant: L'Oreal
Inventor： Christine Elfakhri , Florent Valceschini , Loic Tran , Matthieu Perrot , Robin Kips , Emmanuel Malherbe
Abstract: In some embodiments of the present disclosure, one or more machine learning models are trained to accurately estimate skin color in one or more images regardless of the lighting conditions. In some embodiments, the models can then be used to estimate a skin color in a new image, and that estimated skin color can be used for a variety of purposes. For example, the skin color may be used to generate a recommendation for a foundation shade that accurately matches the skin color, or a recommendation for another cosmetic product that is complimentary with the estimated skin color. Thus, the need for an in-person test of the product is eliminated.
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8.发明授权公开(公告)号：US11010636B2
公开(公告)日：2021-05-18
申请号：US16171153
申请日：2018-10-25
Applicant: L'Oreal
Inventor： Grégoire Charraud , Helga Malaprade , Géraldine Thiebaut , Matthieu Perrot , Robin Kips
Abstract: Embodiments of the present disclosure provide systems, methods, and computer-readable media that use machine learning models to enable computing devices to detect and identify cosmetic products in face images. In some embodiments, a model training system may gather training data for building the machine learning models by analyzing face images associated with tagging data. In some embodiments, a recommendation system may be configured to use the machine learning models generated by the model training system to detect products in face images, and to add information based on the detected products to a look data store, and/or to provide recommendations for similar looks from the look data store based on the detected products.
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