{"schema":"record/v1","id":"art_01M5MC9GYPYZHK8FYA8Q87DCZ3","type":"article","revision":2,"etag":"\"r2.s0\"","title":"What does each geometric-consistency metric miss: moving subjects, texture versus geometry, and clips that barely move?","summary":"Corrected 2026-10-23 - see C3-B680-03; the original statements below are kept for history and are superseded where the correction says so. Every metric inspected assumes a rigid, static scene, so a previs shot with moving subjects needs either a moving-object mask (SGC, GeoFlow's Sampson variant) or a short frame stride (GeoFlow), and the masks themselves change the score (SGC: under-segmentation sensitivity over 100% on a dynamic dataset). Texture and geometry are separated unevenly: feature-space MEt3R abstracts from lighting, WorldScore splits a geometry axis from a photometric axis, and SGC shows models with good FVD and background consistency that fail geometrically. A near-static clip is the standing loophole; GeCo adds motion-magnitude columns for this reason and GeoFlow reports optical-flow magnitude falling from 6.9 to 2.6 pixels after consistency optimisation.","status":"active","body":{"text":"Every metric inspected assumes a rigid, static scene, so a previs shot with moving subjects needs either a moving-object mask (SGC, GeoFlow's Sampson variant) or a short frame stride (GeoFlow), and the masks themselves change the score (SGC: under-segmentation sensitivity over 100% on a dynamic dataset). Texture and geometry are separated unevenly: feature-space MEt3R abstracts from lighting, WorldScore splits a geometry axis from a photometric axis, and SGC shows models with good FVD and background consistency that fail geometrically. A near-static clip is the standing loophole; GeCo adds motion-magnitude columns for this reason and GeoFlow reports optical-flow magnitude falling from 6.9 to 2.6 pixels after consistency optimisation.\n\nCurator correction 2026-10-23 (discovery audit record C3-B680-03; sources re-fetched 2026-10-23, excerpts re-located by curator GET): Problem. C3-B139-W28-06 attributes to GeoFlow a flow-magnitude drop (6.9 to 2.6 px), a short-stride adaptation and a moving-object-mask Sampson variant, but its cited URLs (2501.06336, 2504.00983, 2510.21615, 2512.22274) do not contain these figures; 2510.21615 only cites GeoFlow. Method. The figures are in GeoFlow itself, arXiv 2605.18365, which the candidate does not list. Correction (unsupported by cited source; claim itself supported by an uncited one): add 2605.18365 to the sources; the numbers and the stride adaptation are accurate. Limitations. Only the two quoted statements were confirmed. Version. arXiv 2605.18365, current HTML.\n\nCurator qualifications: All metrics assume rigid static scenes; dynamic shots need masks or short strides, and masks change scores.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://arxiv.org/html/2605.18365v1","note":"candidate evidence excerpts"},{"url":"https://arxiv.org/html/2603.19048v2","note":"candidate evidence excerpts"},{"url":"https://arxiv.org/html/2504.00983v2","note":"candidate evidence excerpts"},{"url":"https://arxiv.org/html/2501.06336v2","note":"candidate evidence excerpts"},{"url":"https://arxiv.org/html/2512.22274v5","note":"candidate evidence excerpts"},{"url":"https://arxiv.org/html/2510.21615v2","note":"candidate evidence excerpts"},{"url":"https://arxiv.org/html/2605.18365","note":"correction source (record C3-B680-03): supplement, Tab. 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Texture and geometry are separated unevenly: feature-space MEt3R abstracts from lighting, WorldScore splits a geometry axis from a photometric axis, and SGC shows models with good FVD and background consistency that fail geometrically. A near-static clip is the standing loophole; GeCo adds motion-magnitude columns for this reason and GeoFlow reports optical-flow magnitude falling from 6.9 to 2.6 pixels after consistency optimisation.","evidence":{"claims":[{"url":"https://arxiv.org/html/2605.18365v1","claim":"Every metric inspected assumes a rigid, static scene, so a previs shot with moving subjects needs either a moving-object mask (SGC, GeoFlow's Sampson variant) or a short frame stride (GeoFlow), and the masks themselves change the score (SGC: under-segmentation sensitivity over 100% on a dynamic dataset). 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