Method for Artificially Generating Multiple Images
AssigneesRobert Bosch GmbH, Cariad SE
InventorAlexander Kugele
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Abstract
The invention relates to a method for artificially generating multiple images of a three-dimensional scene, in particular for provision as training and/or validation and/or test data for a machine learning system for use in a technical system, preferably a vehicle, wherein the following steps are performed automatically: Providing input data wherein the input data at least partially describes the scene, Generating the multiple images by an image generator to represent the scene through the generated images via different views, wherein the image generator uses at least one machine learning model for the generation, Providing the generated images.
Claims13
A method for artificially generating multiple images of a three-dimensional scene, wherein the following steps are performed automatically:
- Providing input data, wherein the input data at least partially describes the scene,
- Generating the multiple images using an image generator to represent the scene through the generated images via different views, wherein the image generator uses at least one machine learning model for the generation,
- Providing the generated images, characterized in that
- the multiple images are generated jointly by the image generator in order to jointly take into account information shared by the input data, and/or the multiple images for the generation by the image generator.
(canceled)
A data processing comprising:
- one or more processors;
- and
- a computer program comprising instructions stored on a non-transitory computer-readable medium, the computing instructions, when executed by the one or more processors cause the one or more processors to:
- Providing input data, wherein the input data at least partially describes the scene,
- Generating the multiple images using an image generator to represent the scene through the generated images via different views, wherein the image generator uses at least one machine learning model for the generation,
- Providing the generated images,
- characterized in that
- the multiple images are generated jointly by the image generator in order to jointly take into account information shared by the input data and/or the multiple images for the generation by the image generator.
A non-transitory computer-readable storage medium, comprising instructions which, when executed by at least one computer, cause it to:
- Provide input data, wherein the input data at least partially describes the scene,
- Generate the multiple images using an image generator to represent the scene through the generated images via different views, wherein the image generator uses at least one machine learning model for the generation,
- Provide the generated images,
- characterized in that
- the multiple images are generated jointly by the image generator in order to jointly take into account information shared by the input data and/or the multiple images for the generation by the image generator.
Dependencies are inferred from the claim text.