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Research questionHow can sparse structure-from-motion remain reliable in repeated or symmetric scenes while limiting redundant computation?Repeated or symmetric structures can create ambiguous correspondences, leading reconstruction pipelines toward incorrect geometry or failure. Keeping many redundant cameras and constraints can also make reconstruction unnecessarily expensive.
Computer Vision
Image & Video Processing
Inference Optimization
Machine Learning
Research Paper
Latest papersRecent research connected to this question, newest first.XDG: Accelerated Visual DisambiguationThe source describes XDG, which adapts Depth Anything 3 with lightweight LoRA adapters and uses camera tokens with an MLP to classify whether candidate image pairs observe the same 3D surface. Evidence covers pairwise and reconstruction benchmarks, including LaMAR scenes, and reports competitive accuracy with more than a 3× inference speedup; broader deployment conditions are not specified.research paper · Sep 4, 2026HiSfM: Disambiguating Structure-from-Motion via Scaffold-Anchored Hierarchical ReconstructionThe source presents a hierarchical reconstruction strategy that builds and verifies a compact scaffold before registering additional images and triangulating refinements. It evaluates image-based sparse structure-from-motion on ambiguity-focused and general datasets; sensor modalities and access constraints are unspecified.research paper · Sep 4, 2026
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