VectorHarness: Recovering Editable, Relation-Preserving Structure from Scientific Graphics
Converting scientific graphics into editable representations remains a challenging problem for image-to-code generation because of their heterogeneous elements and complex layouts. Recent multi-agent reconstruction systems have advanced this line of work, but often follow a copy-paste paradigm: the reconstructed image closely resembles the original, while complex regions remain effectively uneditable. We instead formulate a different objective, raster-to-authoring reconstruction, which aims to recover an authoring representation that supports native, customized editing rather than mere visual replication. To this end, we present VectorHarness, a multi-agent framework for raster-to-authori...
| Authors | Jiahao Tang, Yiren Song, Alex Jinpeng Wang |
|---|---|
| Primary category | cs.CV |
| Published | 9 September 2026 |
| Last updated at source | 18 September 2026 |
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