AI RESEARCH
AnchorFlow: Editable SVG Reconstruction via Sparse Anchor Point Fields
arXiv CS.CV
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ArXi:2605.19551v1 Announce Type: cross Image-to-SVG reconstruction aims to produce vector graphics that are faithful to raster inputs and easy to edit. Existing methods face a structural trade-off in how vector structure is parameterized, including how many paths represent an image and how many anchor points define each path. High-fidelity methods often rely on many paths or densely parameterized curves, whereas overly compact SVG generation may deviate from the input geometry. This issue becomes pronounced when local raster evidence is imperfect, where boundary-following reconstruction can.