Machine learning based image processing techniques
AssigneeOutward, Inc.
InventorsClarence Chui, Manu Parmar
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Abstract
A machine learning based image processing architecture and associated applications are disclosed herein. In some embodiments, a machine learning framework is trained to learn low level image attributes such as object/scene types, geometries, placements, materials and textures, camera characteristics, lighting characteristics, contrast, noise statistics, etc. Thereafter, the machine learning framework may be employed to detect such attributes in other images and process the images at the attribute level.
Claims20
A method, comprising:
- receiving a scene specification comprising a plurality of objects having different aesthetics;
- and
- generating an image of the scene having a prescribed aesthetic using a machine learning framework, wherein the machine learning framework facilitates removing an existing aesthetic and applying the prescribed aesthetic to each object in the scene having a different aesthetic than the prescribed aesthetic.
A system, comprising:
- a processor configured to:
- receive a scene specification comprising a plurality of objects having different aesthetics;
- and
- generate an image of the scene having a prescribed aesthetic using a machine learning framework, wherein the machine learning framework facilitates removing an existing aesthetic and applying the prescribed aesthetic to each object in the scene having a different aesthetic than the prescribed aesthetic;
- and
- a memory coupled to the processor and configured to provide the processor with instructions.
A computer program product embodied in a non-transitory computer readable storage medium and comprising computer instructions for:
- receiving a scene specification comprising a plurality of objects having different aesthetics;
- and
- generating an image of the scene having a prescribed aesthetic using a machine learning framework, wherein the machine learning framework facilitates removing an existing aesthetic and applying the prescribed aesthetic to each object in the scene having a different aesthetic than the prescribed aesthetic.
Dependencies are inferred from the claim text.