公开(公告)号：US11100054B2

公开(公告)日：2021-08-24

申请号：US16596394

申请日：2019-10-08

Applicant: eBay Inc.

Inventor： Fang Fang ,  Surabhi Shastri ,  Changchen He ,  Krutika Shetty

IPC: G06T19/00 ,  G06F16/182 ,  G06Q30/06 ,  G06F16/16 ,  G06F16/23 ,  G06F3/00

Abstract: Techniques image suitability determination to generate augmented reality/virtual reality (AR/VR) digital content are described. A two-dimensional digital image is received. Using machine-learning, a determination as to whether an object captured by the two-dimensional digital image is suitable for generating AR/VR digital content for display in an AR/VR environment is made. If the object is suitable, an indication is provided and an option to view the object in an AR/VR environment is provided. If the object is not suitable, a suggestion indicating why the object as captured is not suitable and/or how to correct the capture of the object in a subsequent digital image such that it is suitable for generating AR/VR digital content.

公开(公告)号：US20230098794A1

公开(公告)日：2023-03-30

申请号：US18061740

申请日：2022-12-05

Applicant: eBay Inc.

Inventor： Maxim Manco ,  Fang Fang ,  Natraj Srinivasan ,  Alexander Akerman ,  Michael Ebin ,  Eran Ben Tovim

IPC: G06Q30/06 ,  G06F9/451 ,  B33Y50/02 ,  G05B13/02 ,  G06Q30/02 ,  G06F3/12 ,  G06N3/08 ,  G06F21/62 ,  G06Q50/04 ,  G06N20/00 ,  G06Q10/08 ,  G06N3/04 ,  G06F3/0482 ,  G06F3/0484

Abstract: An autonomous item generation system implements a trained machine learning model configured to output fabrication instructions for generating an item and metadata describing the item, automatically and independent of user input. Fabrication instructions output by the machine learning model are transmitted to a fabrication device for generating the item. The autonomous item generation system generates a listing for the item based on the metadata output by the machine learning model and publishes the listing to a virtual marketplace. Analytics data describing feedback for the item listing is used to generate training data for the machine learning model. The training data is input to the machine learning model, which causes the machine learning model to refine at least one control parameter according to a loss function that penalizes negative differences between predicted and observed feedback data for the item. The machine learning model with the refined parameter(s) is then used by the autonomous item generation system to generate fabrication instructions and metadata for an additional item.

公开(公告)号：US20210073833A1

公开(公告)日：2021-03-11

申请号：US17015822

申请日：2020-09-09

Applicant: eBay Inc.

Inventor： Maxim Manco ,  Fang Fang ,  Natraj Srinivasan ,  Alexander Akerman ,  Michael Ebin ,  Eran Ben Tovim

IPC: G06Q30/02 ,  G06Q50/04 ,  G06Q30/06 ,  G06Q10/08 ,  G06N3/04 ,  G06N3/08 ,  G05B13/02 ,  G06F3/12 ,  B33Y50/02

Abstract: An autonomous item generation system implements a trained machine learning model configured to output fabrication instructions for generating an item and metadata describing the item, automatically and independent of user input. Fabrication instructions output by the machine learning model are transmitted to a fabrication device for generating the item. The autonomous item generation system generates a listing for the item based on the metadata output by the machine learning model and publishes the listing to a virtual marketplace. Analytics data describing feedback for the item listing is used to generate training data for the machine learning model. The training data is input to the machine learning model, which causes the machine learning model to refine at least one control parameter according to a loss function that penalizes negative differences between predicted and observed feedback data for the item. The machine learning model with the refined parameter(s) is then used by the autonomous item generation system to generate fabrication instructions and metadata for an additional item.

公开(公告)号：US11487712B2

公开(公告)日：2022-11-01

申请号：US17377708

申请日：2021-07-16

Applicant: eBay Inc.

Inventor： Fang Fang ,  Surabhi Shastri ,  Changchen He ,  Krutika Shetty

IPC: G06T19/00 ,  G06F16/182 ,  G06F16/23 ,  H04L9/32 ,  G06Q30/06 ,  H04L9/00

Abstract: Techniques image suitability determination to generate augmented reality/virtual reality (AR/VR) digital content are described. A two-dimensional digital image is received. Using machine-learning, a determination as to whether an object captured by the two-dimensional digital image is suitable for generating AR/VR digital content for display in an AR/VR environment is made. If the object is suitable, an indication is provided and an option to view the object in an AR/VR environment is provided. If the object is not suitable, a suggestion indicating why the object as captured is not suitable and/or how to correct the capture of the object in a subsequent digital image such that it is suitable for generating AR/VR digital content.

公开(公告)号：US20210342306A1

公开(公告)日：2021-11-04

申请号：US17377708

申请日：2021-07-16

Applicant: eBay Inc.

Inventor： Fang Fang ,  Surabhi Shastri ,  Changchen He ,  Krutika Shetty

IPC: G06F16/182 ,  G06Q30/06 ,  G06F16/16 ,  G06F16/23 ,  G06F3/00 ,  G06T19/00

Abstract: Techniques image suitability determination to generate augmented reality/virtual reality (AR/VR) digital content are described. A two-dimensional digital image is received. Using machine-learning, a determination as to whether an object captured by the two-dimensional digital image is suitable for generating AR/VR digital content for display in an AR/VR environment is made. If the object is suitable, an indication is provided and an option to view the object in an AR/VR environment is provided. If the object is not suitable, a suggestion indicating why the object as captured is not suitable and/or how to correct the capture of the object in a subsequent digital image such that it is suitable for generating AR/VR digital content.