--- title: LoGeR: Long-Context Geometric Reconstruction with Hybrid... description: LoGeR is a feedforward 3D reconstruction system designed to handle extremely long video sequences (up to 19,000 frames). It addresses two core challenges: the... canonical: https://daily.dev/posts/loger-long-context-geometric-reconstruction-with-hybrid-memory-lrfknak4x twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory | daily.dev og:description: LoGeR is a feedforward 3D reconstruction system designed to handle extremely long video sequences (up to 19,000 frames). It addresses two core challenges: the... og:url: https://daily.dev/posts/loger-long-context-geometric-reconstruction-with-hybrid-memory-lrfknak4x og:image: https://api.daily.dev/og/posts/LRFknAk4X.png og:image:alt: LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory **[Hacker News](https://daily.dev/sources/hn)** · 4 min read · 0 upvotes · 0 comments ## Summary LoGeR is a feedforward 3D reconstruction system designed to handle extremely long video sequences (up to 19,000 frames). It addresses two core challenges: the quadratic complexity 'context wall' of full-attention models and the 'data wall' from training only on short sequences. The approach uses chunk-based processing with a hybrid memory module combining Sliding Window Attention (SWA) for precise local geometric alignment and Test-Time Training (TTT) for long-range global consistency. On benchmarks, LoGeR achieves a 30.8% relative improvement over prior feedforward methods on the 19k-frame VBR dataset and best average ATE of 18.65 on KITTI, while also remaining competitive on short-sequence benchmarks like 7-Scenes and ScanNet. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#computer-vision](https://daily.dev/tags/computer-vision) [View this post on daily.dev](https://daily.dev/posts/loger-long-context-geometric-reconstruction-with-hybrid-memory-lrfknak4x) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"LoGeR: Long-Context Geometric Reconstruction with Hybrid Memory","url":"https://daily.dev/posts/loger-long-context-geometric-reconstruction-with-hybrid-memory-lrfknak4x","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/loger-long-context-geometric-reconstruction-with-hybrid-memory-lrfknak4x"},"datePublished":"2026-03-10T13:27:22.635Z","dateModified":"2026-03-10T15:25:13.188Z","description":"LoGeR is a feedforward 3D reconstruction system designed to handle extremely long video sequences (up to 19,000 frames). 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