公开(公告)号：US11900052B2

公开(公告)日：2024-02-13

申请号：US17095603

申请日：2020-11-11

Applicant: Microsoft Technology Licensing, LLC

Inventor： Ji Li ,  Amit Srivastava ,  Mingxi Cheng

IPC: G06N3/02 ,  G06N3/088 ,  G06N5/04 ,  G06F40/186 ,  G06N20/00 ,  G06F40/103 ,  G06V10/40

CPC classification number: G06F40/186 ,  G06F40/103 ,  G06N3/02 ,  G06N3/088 ,  G06N5/04 ,  G06N20/00 ,  G06V10/40

Abstract: The present disclosure applies trained artificial intelligence (AI) processing adapted to automatically generating transformations of formatted templates. Pre-existing formatted templates (e.g., slide-based presentation templates) are leveraged by the trained AI processing to automatically generate a plurality of high-quality template transformations. In transforming a formatted template, the trained AI processing not only generates feature transformation of objects thereof but may also provide style transformations where attributes associated with a presentation theme may be modified for a formatted template or set of formatted templates. The trained AI processing is novel in that it is tailored for analysis of feature data of a specific type of formatted template. The trained AI processing converts a formatted template into a feature vector and utilizes conditioned generative modeling to generate one or more transformed templates using a representation of the feature data and feature data from one or more other formatted templates.

公开(公告)号：US11556183B1

公开(公告)日：2023-01-17

申请号：US17490677

申请日：2021-09-30

Applicant: Microsoft Technology Licensing, LLC

Inventor： Ji Li ,  Mingxi Cheng ,  Fatima Zohra Daha ,  Amit Srivastava

IPC: G06F3/0482 ,  G06F3/01 ,  G06N3/04 ,  G06V40/20 ,  G06V40/10

Abstract: A method and system for generating training data for training a gesture detection machine-learning (ML) model includes receiving a request to generate training data for the gesture detection model, the training data being associated with a target gesture, retrieving data associated with an original gesture, the original gesture being a gesture made using a body part, retrieving skeleton data associated with the target gesture, the skeleton data displaying a skeleton representative of the body part and the skeleton displaying the target gesture, aligning a location of the body part in the data with a location of the skeleton in the skeleton data, providing the aligned data and the skeleton data to an ML model for generating a target data that displays the target gesture, receiving the target data as an output from the ML model, the target data preserving a visual feature of the data and displaying the target gesture, and providing the target data to the gesture detection ML model.