{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10482639","patent":{"patent_number":"US-10482639","title":"Deep high-resolution style synthesis","assignee":null,"inventors":[],"filing_date":"2017-02-21T00:00:00.000Z","publication_date":"2019-11-19T00:00:00.000Z","cpc_codes":["G06T","G06F","G06N","G06N","G06N","G06T","G06V","G06V","G06V"],"num_claims":20,"abstract":"In some embodiments, techniques for synthesizing an image style based on a plurality of neural networks are described. A computer system selects a style image based on user input that identifies the style image. The computer system generates an image based on a generator neural network and a loss neural network. The generator neural network outputs the synthesized image based on a noise vector and the style image and is trained based on style features generated from the loss neural network. The loss neural network outputs the style features based on a training image. The training image and the style image have a same resolution. The style features are generated at different resolutions of the training image. The computer system provides the synthesized image to a user device in response to the user input."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Deep high-resolution style synthesis","description":"In some embodiments, techniques for synthesizing an image style based on a plurality of neural networks are described. A computer system selects a style image based on user input that identifies the s","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10482639","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-10482639","citation_suggestion":"Patentable. \"Deep high-resolution style synthesis\" (US-10482639). https://patentable.app/patents/US-10482639","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10482639","json":"https://patentable.app/api/llm-context/US-10482639","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T08:44:06.628Z"}