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US 12,602,743 B1Granted
Image synthesis using one or more neural networks
AssigneeNVIDIA Corporation
InventorsZiyue Xu, Xiaosong Wang, Ling Zhang, Holger Roth, Daguang Xu, Fausto Milletari, Hoo Chang Shin, Dong Yang
Life of this patent
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Abstract
Apparatuses, systems, and techniques to infer synthesized images including digital representations of objects blended realistically with appropriate background images. In at least one embodiment, background image data and a description of semantic features for a type of object are fused together to infer such a synthesized image using one or more neural networks.
Claims36
One or more processors, comprising:
- circuitry to:
- receive, as input to one or more neural networks, one or more user-generated descriptions of semantic features associated with one or more objects;
- and
- cause the one or more neural networks to generate one or more images depicting the one or more objects, wherein one or more pixels of the one or more images depicting at least a portion of the one or more objects are blended with pixels of one or more background images based, at least in part, on the one or more user-generated descriptions of the semantic features associated with the one or more objects.
1 more element
A system comprising:
- one or more processors to:
- receive, as input to one or more neural networks, one or more user-generated descriptions of semantic features associated with one or more objects;
- store the one or more user-generated descriptions of the semantic features associated with the one or more objects;
- and
- cause the one or more neural networks to generate one or more images depicting the one or more objects, wherein one or more pixels of the one or more images depicting at least a portion of the one or more objects are blended with pixels of one or more background images based, at least in part, on the one or more user-generated descriptions of the semantic features.
2 more elements
A method comprising:
- receiving, as input to one or more neural networks, one or more user-generated descriptions of semantic features associated with one or more objects;
- causing the one or more neural networks to generate one or more images depicting the one or more objects, wherein one or more pixels of the one or more images depicting at least a portion of the one or more objects are blended with pixels of one or more background images based, at least in part, on the one or more user-generated descriptions of the semantic features associated with the one or more objects;
- and
- storing the one or more images.
1 more element
One or more processors, comprising:
- circuitry to:
- receive, as input to one or more neural networks, one or more user-generated descriptions of semantic features associated with one or more objects;
- and
- train the one or more neural networks to generate one or more images depicting the one or more objects, wherein one or more pixels of the one or more images depicting at least a portion of the one or more objects are blended with pixels of one or more background images based, at least in part, on a the one or more user-generated descriptions of the semantic features associated with the one or more objects.
1 more element
A system, comprising:
- one or more memories to store one or more user-generated descriptions of semantic features associated with one or more objects;
- and
- one or more processors to train one or more neural networks to generate one or more images depicting the one or more objects, wherein one or more pixels of the one or more images depicting at least a portion of the one or more objects are blended with pixels of one or more background images based, at least in part, on the one or more user-generated descriptions of the semantic features associated with the one or more objects.
A method comprising:
- receiving, as input to one or more neural networks, one or more user-generated descriptions of semantic features associated with one or more objects;
- training the one or more neural networks to generate one or more images depicting the one or more objects, wherein one or more pixels of the one or more images depicting at least a portion of the one or more objects are blended with pixels of one or more background images based, at least in part, on the one or more user-generated descriptions of the semantic features associated with the one or more objects;
- and
- storing the one or more neural networks.
1 more element
Dependencies are inferred from the claim text.