http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114930380-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_a68790a12228f5b99e176e8aacff640a
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2200-24
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T3-4046
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T3-0012
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T3-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T3-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11
filingDate 2021-10-06-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1c6f5817875303ae36ac29c397874369
publicationDate 2022-08-19-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-114930380-A
titleOfInvention Image generation using one or more neural networks
abstract Apparatus, systems, and techniques for generating images are presented. In at least one embodiment, one or more neural networks are used to adjust one or more of one or more objects of one or more images based at least in part on input from one or more users aspect ratio.
priorityDate 2020-10-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419701332
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID22978774

Total number of triples: 19.