{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11250613","patent":{"patent_number":"US-11250613","title":"Bayesian machine learning system for adaptive ray-tracing","assignee":null,"inventors":[],"filing_date":"2020-05-07T00:00:00.000Z","publication_date":"2022-02-15T00:00:00.000Z","cpc_codes":["G06T","G06N","G06N","G06N","G06N","G06T","G06N","G06N","G06N","G06N","G06T","G06T"],"num_claims":20,"abstract":"Various techniques for adaptive rendering of images with noise reduction are described. More specifically, the present disclosure relates to approaches for rendering and denoising images—such as ray-traced images—in an iterative process that distributes computational efforts to pixels where denoised output is predicted with higher uncertainty. In some embodiments, an input image may be fed into a deep neural network (DNN) to jointly predict a denoised image and an uncertainty map. The uncertainty map may be used to create a distribution of additional samples (e.g., for one or more samples per pixel on average), and the additional samples may be used with the input image to adaptively render a higher quality image. This process may be repeated in a loop, until some criterion is satisfied, for example, when the denoised image converges to a designated quality, a time or sampling budget is satisfied, or otherwise."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Bayesian machine learning system for adaptive ray-tracing","description":"Various techniques for adaptive rendering of images with noise reduction are described. More specifically, the present disclosure relates to approaches for rendering and denoising images—such as ray-t","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11250613","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-11250613","citation_suggestion":"Patentable. \"Bayesian machine learning system for adaptive ray-tracing\" (US-11250613). https://patentable.app/patents/US-11250613","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11250613","json":"https://patentable.app/api/llm-context/US-11250613","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T14:08:59.364Z"}