{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11532073","patent":{"patent_number":"US-11532073","title":"Temporal techniques of denoising Monte Carlo renderings using neural networks","assignee":null,"inventors":[],"filing_date":"2018-07-31T00:00:00.000Z","publication_date":"2022-12-20T00:00:00.000Z","cpc_codes":["G06T","G06F","G06N","G06N","G06N","G06N","G06N","G06N","G06T","G06T","G06T","G06T","G06N","G06T","G06T","G06T"],"num_claims":20,"abstract":"A modular architecture is provided for denoising Monte Carlo renderings using neural networks. The temporal approach extracts and combines feature representations from neighboring frames rather than building a temporal context using recurrent connections. A multiscale architecture includes separate single-frame or temporal denoising modules for individual scales, and one or more scale compositor neural networks configured to adaptively blend individual scales. An error-predicting module is configured to produce adaptive sampling maps for a renderer to achieve more uniform residual noise distribution. An asymmetric loss function may be used for training the neural networks, which can provide control over the variance-bias trade-off during denoising."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Temporal techniques of denoising Monte Carlo renderings using neural networks","description":"A modular architecture is provided for denoising Monte Carlo renderings using neural networks. The temporal approach extracts and combines feature representations from neighboring frames rather than b","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11532073","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-11532073","citation_suggestion":"Patentable. \"Temporal techniques of denoising Monte Carlo renderings using neural networks\" (US-11532073). https://patentable.app/patents/US-11532073","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11532073","json":"https://patentable.app/api/llm-context/US-11532073","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T20:37:13.559Z"}