公开(公告)号：US11645497B2

公开(公告)日：2023-05-09

申请号：US16683398

申请日：2019-11-14

Applicant: L'Oreal

Inventor： Eric Elmoznino ,  He Ma ,  Irina Kezele ,  Edmund Phung ,  Alex Levinshtein ,  Parham Aarabi

IPC: G06N3/045 ,  G06T19/00 ,  G06N20/00 ,  G06F3/01 ,  G06N3/08 ,  G06N3/047

CPC classification number: G06N3/045 ,  G06F3/011 ,  G06N3/047 ,  G06N3/08 ,  G06N20/00 ,  G06T19/006 ,  G06T2207/20081

Abstract: Systems and methods relate to a network model to apply an effect to an image such as an augmented reality effect (e.g. makeup, hair, nail, etc.). The network model uses a conditional cycle-consistent generative image-to-image translation model to translate images from a first domain space where the effect is not applied and to a second continuous domain space where the effect is applied. In order to render arbitrary effects (e.g. lipsticks) not seen at training time, the effect's space is represented as a continuous domain (e.g. a conditional variable vector) learned by encoding simple swatch images of the effect, such as are available as product swatches, as well as a null effect. The model is trained end-to-end in an unsupervised fashion. To condition a generator of the model, convolutional conditional batch normalization (CCBN) is used to apply the vector encoding the reference swatch images that represent the makeup properties.

公开(公告)号：US11553872B2

公开(公告)日：2023-01-17

申请号：US16702895

申请日：2019-12-04

Applicant: L'OREAL

Inventor： Ruowei Jiang ,  Junwei Ma ,  He Ma ,  Eric Elmoznino ,  Irina Kezele ,  Alex Levinshtein ,  Julien Despois ,  Matthieu Perrot ,  Frederic Antoinin Raymond Serge Flament ,  Parham Aarabi

IPC: G06V40/16 ,  A61B5/00 ,  G06T7/00 ,  G06N3/04 ,  G06N3/08 ,  G06V10/82 ,  G06V40/18

Abstract: There is shown and described a deep learning based system and method for skin diagnostics as well as testing metrics that show that such a deep learning based system outperforms human experts on the task of apparent skin diagnostics. Also shown and described is a system and method of monitoring a skin treatment regime using a deep learning based system and method for skin diagnostics.

公开(公告)号：US11832958B2

公开(公告)日：2023-12-05

申请号：US18080331

申请日：2022-12-13

Applicant: L'OREAL

Inventor： Ruowei Jiang ,  Junwei Ma ,  He Ma ,  Eric Elmoznino ,  Irina Kezele ,  Alex Levinshtein ,  Julien Despois ,  Matthieu Perrot ,  Frederic Antoinin Raymond Serge Flament ,  Parham Aarabi

IPC: A61B5/00 ,  G06T7/00 ,  G06V40/16 ,  G06N3/08 ,  G06V10/82 ,  G06N3/045 ,  G06V10/44 ,  G06V40/18

CPC classification number: A61B5/441 ,  G06N3/045 ,  G06N3/08 ,  G06T7/0012 ,  G06V10/454 ,  G06V10/82 ,  G06V40/171 ,  G06T2207/30088 ,  G06V40/174 ,  G06V40/18

Abstract: There is shown and described a deep learning based system and method for skin diagnostics as well as testing metrics that show that such a deep learning based system outperforms human experts on the task of apparent skin diagnostics. Also shown and described is a system and method of monitoring a skin treatment regime using a deep learning based system and method for skin diagnostics.