公开(公告)号：US12248872B1

公开(公告)日：2025-03-11

申请号：US17486666

申请日：2021-09-27

Applicant: Amazon Technologies, Inc.

Inventor： Anurag Beniwal ,  Meet Taraviya ,  Yen-Liang Lin ,  Larry Davis

IPC: G06N3/08 ,  G06F18/21 ,  G06Q10/083

Abstract: Systems and methods are described for recommending pairs or sets of clothing items for an individual to wear together, including learning a compatibility metric personalized to each individual. A framework is used to learn compatibility that is personalized to the user based on initial item feedback that may be received from the user via user interfaces that prompt the user to indicate whether the user would wear certain clothing items together and/or individually.

公开(公告)号：US11645693B1

公开(公告)日：2023-05-09

申请号：US16804758

申请日：2020-02-28

Applicant: AMAZON TECHNOLOGIES, INC.

Inventor： Yen-Liang Lin ,  Son Tran ,  Larry Davis

IPC: G06F17/16 ,  G06N3/04 ,  G06N3/08 ,  G06Q30/0601

CPC classification number: G06Q30/0629 ,  G06F17/16 ,  G06N3/04 ,  G06N3/08 ,  G06Q30/0641

Abstract: An example method of complementary consumer item selection includes: receiving, by a computer system, an image representing a first consumer item of a reference set of consumer items; identifying a target category of a complementary consumer item to be associated with the reference set of consumer items; generating, by a neural network processing the set of images, a feature embeddings representing the first consumer item in relation to the target category; selecting, using the feature embedding, from a set of available consumer items, a plurality of candidate consumer items associated with the target category; and selecting, among the plurality of candidate consumer items, the complementary consumer item to be associated with the reference set of consumer items.

公开(公告)号：US20240331211A1

公开(公告)日：2024-10-03

申请号：US18194441

申请日：2023-03-31

Applicant: Amazon Technologies, Inc.

Inventor： Larry Davis ,  Nicolas Heron ,  Amit Kumar Agrawal ,  Nina Mitra Khosrowsalafi ,  Osama Makansi ,  Oleksandr Vorobiov

IPC: G06T11/00 ,  G06T7/12 ,  G06T7/70 ,  G06V10/764

CPC classification number: G06T11/00 ,  G06T7/12 ,  G06T7/70 ,  G06V10/764 ,  G06T2207/20081 ,  G06T2207/30196

Abstract: Systems and methods are described for generating images of synthesized bodies wearing a garment. For instance, a source image of a human or mannequin wearing a garment may be submitted to a synthesized human generation system. In response to receiving the source image, the synthesized human generation system may use a classifier to classify the image as depicting one or more body types or orientations. The synthesized human generation system may also apply segmentation to the source image to segment the garment pixels. The synthesized human generation system may then select one or more body generation machine learning models based on the classification of the source image. The synthesized human generation system may utilize the selected machine learning models to generate one or more output images of synthesized bodies that appear to be wearing the garment, using the segmented garment as input.