SOURCE-LINKED INTELLIGENCE
EdiTikZ: Scientific Figure Editing from Revision Trajectories
Vision-language models (VLMs) have shown strong performance in generating scientific figures from text or images. However, publication-ready figures often require iterative refinement, making scientific figure editing an important yet largely unexplored step toward interactive figure creation. Existing approaches rely on costly proprietary agentic systems, focus primarily on evaluation, or construct training supervision from synthetically generated edits. Instead, we leverage naturally occurring scientific revision and development trajectories as a scalable source of supervision. To this end,
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-01T15:29:52.000Z
First collected: 2026-09-21T06:01:56.170Z. This is not the publication date.