Adobe Inc.
SYNTHETIC DATA GENERATION FOR TRAINING A MACHINE LEARNING MODEL FOR DYNAMIC OBJECT COMPOSITING IN SCENES

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.