US 2024/0185574 A1 · COMPOSITE CAR IMAGE GENERATOR

Abstract

The present disclosure relates generally to artificial intelligence (AI), machine learning (ML), and deep learning technologies. More specifically, the disclosure relates to a vehicle image composite system that employs computer vision (CV) along with a Generative Adversarial Network (GAN) to generate realistic composite car images. For example, in one or more embodiments, the composite car image generator system trains a Convolutional Neural Network (CNN) to learn the Make Model Year parameters of all vehicle images provided. Once trained, the determined Make Model Year parameters of the vehicles allow the CNN to produce realistic composite images of a vehicle of any make, model, year, and trim level.

Claims20

Dependent claims

A system for generating composite car images, the system comprising:

a processor;
a non-transitory computer-readable storage medium storing instructions that when executed by the processor, cause the system to perform the steps of:
collecting car images;
storing the car images in a car images database;
selecting car images from the car images database;
filtering the car images by poses;
storing the filtered car images in a Make Model Year database;
using a generative adversarial network to train Make Model Year Models using Make Model Year parameters obtained from the filtered car images;
storing the trained Make Model Year Models in the Make Model Year Models database;
and
using a generator neural network to generate a composite car image using the Make Model Year Models.

8 more elements

Dependencies are inferred from the claim text.

Composite car image generator

Life of this patent

Composite car image generator

Life of this patent

Abstract

Claims20