--- format: "aidr-story-markdown/v1" id: "2da50561f4c6cf287215b33011779d7bb027f9a4441529d67c7a5ab07d0d2d19" canonical_url: "https://aidr.today/2da50561?lang=en" title: "Intrinsic Distribution Matching" lang: "en" requested_lang: "en" available_langs: ["en","vi"] translation_fallback: null fallback_fields: [] published_at: "2026-10-30T00:00:00.000Z" category: "Research" topics: ["inference"] source_urls: ["https://huggingface.co/papers/2610.39633"] summary: "Researchers introduced Intrinsic Distribution Matching (IDM), a method that retains the full DMD correction and matches feature means and per-coordinate standard deviations using the generator's EMA copy without an external feature encoder. Experiments on Z-Image-Turbo 6B and Qwen-Image 20B showed IDM reaching 94.25% and 90.20% on Chinese and English LongText-Bench, the highest scores among compared methods at this budget." --- # Intrinsic Distribution Matching > [Open the canonical story]() **Published:** 2026-10-30T00:00:00.000Z **Category:** Research **Topics:** inference ## Summary Researchers introduced Intrinsic Distribution Matching \(IDM\), a method that retains the full DMD correction and matches feature means and per\-coordinate standard deviations using the generator's EMA copy without an external feature encoder\. Experiments on Z\-Image\-Turbo 6B and Qwen\-Image 20B showed IDM reaching 94\.25% and 90\.20% on Chinese and English LongText\-Bench, the highest scores among compared methods at this budget\. ## Sources - [Story source]()