{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-10497172","patent":{"patent_number":"US-10497172","title":"Photorealistic facial texture inference using deep neural networks","assignee":null,"inventors":[],"filing_date":"2017-12-01T00:00:00.000Z","publication_date":"2019-12-03T00:00:00.000Z","cpc_codes":["G06V","G06T","G06T","G06T","G06V","G06V"],"num_claims":20,"abstract":"A method for generating three-dimensional facial models and photorealistic textures from inferences using deep neural networks relies upon generating a low frequency and a high frequency albedo map of the full and partial face, respectively. Then, the high frequency albedo map may be used for comparison with correlation matrices generated by a neural network trained by a large scale, high-resolution facial dataset with simulated partial visibility. The corresponding correlation matrices of the complete facial textures can then be retrieved. Finally, a full facial texture map may be synthesized, using convex combinations of the correlation matrices. A photorealistic facial texture for the three-dimensional face rendering can be obtained through optimization using the deep neural network and a loss function that incorporates the blended target correlation matrices."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Photorealistic facial texture inference using deep neural networks","description":"A method for generating three-dimensional facial models and photorealistic textures from inferences using deep neural networks relies upon generating a low frequency and a high frequency albedo map of","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-10497172","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-10497172","citation_suggestion":"Patentable. \"Photorealistic facial texture inference using deep neural networks\" (US-10497172). https://patentable.app/patents/US-10497172","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-10497172","json":"https://patentable.app/api/llm-context/US-10497172","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T17:20:06.764Z"}