AnchorFlow: Learning Anchor Placement for Faithful and Editable SVG Reconstruction
Raster-to-SVG reconstruction requires faithful geometry and a compact control structure for editing. A central challenge is deciding where to place anchors: raster appearance alone does not determine how a contour should be divided into Bézier segments. We present AnchorFlow, which learns anchor placement from designer-authored SVGs to reconstruct accurate curves with sparse controls. Our key idea is a sparse anchor field that jointly encodes contour geometry and reference segment junctions, including those along smooth contours. An anchor decoder predicts explicit anchor proposals from features learned under field supervision. These proposals guide boundary-constrained fitting and local ...
| Authors | Mengnan Jiang, Christian Franke, Michele Franco Adesso et al. |
|---|---|
| Primary category | cs.GR |
| Published | 19 May 2026 |
| Last updated at source | 8 October 2026 |
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