Render-in-the-Loop reformulates SVG generation as a step-wise visual-context-aware process using self-feedback from rendered intermediate states, VSF training, and RaV inference to outperform baselines on MMSVGBench for Text-to-SVG and Image-to-SVG.
arXiv preprint arXiv:2512.10894 (2025)
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AmodalSVG produces semantically separate and geometrically complete SVG layers from natural images by using VLM-guided semantic layer peeling for amodal completion followed by adaptive vectorization.
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Render-in-the-Loop: Vector Graphics Generation via Visual Self-Feedback
Render-in-the-Loop reformulates SVG generation as a step-wise visual-context-aware process using self-feedback from rendered intermediate states, VSF training, and RaV inference to outperform baselines on MMSVGBench for Text-to-SVG and Image-to-SVG.
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AmodalSVG: Amodal Image Vectorization via Semantic Layer Peeling
AmodalSVG produces semantically separate and geometrically complete SVG layers from natural images by using VLM-guided semantic layer peeling for amodal completion followed by adaptive vectorization.