Invention Application
- Patent Title: SYNTHETIC DATA GENERATION FOR TRAINING A MACHINE LEARNING MODEL FOR DYNAMIC OBJECT COMPOSITING IN SCENES
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Application No.: US16205132Application Date: 2018-11-29
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Publication No.: US20200175759A1Publication Date: 2020-06-04
- Inventor: Bryan Russell , Daniel Kaufman , Carlo Innamorati , Niloy Mitra
- Applicant: Adobe Inc.
- Main IPC: G06T19/00
- IPC: G06T19/00 ; G06T15/20 ; G06T17/00 ; G06F3/01 ; G06K9/62 ; G06N20/00

Abstract:
This application relates generally to augmenting images and videos with dynamic object compositing, and more specifically, to generating synthetic training data to train a machine learning model to automatically augment an image or video with a dynamic object. The synthetic training data may contain multiple data points from thousands of simulated dynamic object movements within a virtual environment. Based on the synthetic training data, the machine learning model may determine the movement of a new dynamic object within new virtual environment.
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