mlsanityData to 7 Oct 2026

A Learned Representation for Scalable Vector Graphics

arXiv 1904.02632 ↗First posted 4 Apr 2019cs.CV cs.LG stat.MLcited by 91

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Abstract (arXiv)

Dramatic advances in generative models have resulted in near photographic quality for artificially rendered faces, animals and other objects in the natural world. In spite of such advances, a higher level understanding of vision and imagery does not arise from exhaustively modeling an object, but instead identifying higher-level attributes that best summarize the aspects of an object. In this work we attempt to model the drawing process of fonts by building sequential generative models of vector graphics. This model has the benefit of providing a scale-invariant representation for imagery whose latent representation may be systematically manipulated and exploited to perform style propagation. We demonstrate these results on a large dataset of fonts and highlight how such a model captures the statistical dependencies and richness of this dataset. We envision that our model can find use as a tool for graphic designers to facilitate font design.

Key facts. Cited by 91 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Apr 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 14; 2022: 6; 2023: 20; 2024: 14; 2025: 18; 2026: 19.

91 papers.

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  1. 2021Im2Vec: Synthesizing Vector Graphics without Vector Supervisioncited by 114
  2. 2023StarVector: Generating Scalable Vector Graphics Code from Images and Textcited by 96
  3. 2021CanvasVAE: Learning to Generate Vector Graphic Documentscited by 93
  4. 2022Towards Layer-wise Image Vectorizationcited by 77
  5. 2023SVGDreamer: Text Guided SVG Generation with Diffusion Modelcited by 75
  6. 2023AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZcited by 74
  7. 2023IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformerscited by 73
  8. 2025OmniSVG: A Unified Scalable Vector Graphics Generation Modelcited by 71
  9. 2021SketchGen: Generating Constrained CAD Sketchescited by 68
  10. 2024Empowering LLMs to Understand and Generate Complex Vector Graphicscited by 63
  11. 2023Word-As-Image for Semantic Typographycited by 62
  12. 2021Engineering Sketch Generation for Computer-Aided Designcited by 49
38 more
  1. 2025LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformercited by 43
  2. 2021Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Conceptscited by 40
  3. 2024Chat2SVG: Vector Graphics Generation with Large Language Models and Image Diffusion Modelscited by 36
  4. 2022CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphicscited by 34
  5. 2024Text-to-Vector Generation with Neural Path Representationcited by 32
  6. 2023Towards Flexible Multi-modal Document Modelscited by 30
  7. 2023DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Qualitycited by 27
  8. 2021A Multi-Implicit Neural Representation for Fontscited by 21
  9. 2023VecFusion: Vector Font Generation with Diffusioncited by 20
  10. 2024NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generationcited by 17
  11. 2021Cloud2Curve: Generation and Vectorization of Parametric Sketchescited by 16
  12. 2023DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representationcited by 16
  13. 2025NeuralSVG: An Implicit Representation for Text-to-Vector Generationcited by 16
  14. 2021DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learningcited by 14
  15. 2023ChiroDiff: Modelling chirographic data with Diffusion Modelscited by 14
  16. 2025UniSVG: A Unified Dataset for Vector Graphic Understanding and Generation with Multimodal Large Language Modelscited by 14
  17. 2024Dynamic Typography: Bringing Text to Life via Video Diffusion Priorcited by 12
  18. 2025InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Modelscited by 12
  19. 2026Render-in-the-Loop: Vector Graphics Generation via Visual Self-Feedbackcited by 12
  20. 2021Recognizing Vector Graphics without Rasterizationcited by 11
  21. 2024Segmentation-guided Layer-wise Image Vectorization with Gradient Fillscited by 11
  22. 2023SketchXAI: A First Look at Explainability for Human Sketchescited by 10
  23. 2024FontCLIP: A Semantic Typography Visual-Language Model for Multilingual Font Applicationscited by 8
  24. 2021Learning Implicit Glyph Shape Representationcited by 7
  25. 2023VecFontSDF: Learning to Reconstruct and Synthesize High-quality Vector Fonts via Signed Distance Functionscited by 7
  26. 2023Image Vectorization: a Reviewcited by 7
  27. 2023Beyond Pixels: Exploring Human-Readable SVG Generation for Simple Images with Vision Language Modelscited by 7
  28. 2022SVG Vector Font Generation for Chinese Characters with Transformercited by 6
  29. 2023SAMVG: A Multi-stage Image Vectorization Model with the Segment-Anything Modelcited by 6
  30. 2025Symbolic Graphics Programming with Large Language Modelscited by 6
  31. 2026VAnim: Rendering-Aware Sparse State Modeling for Structure-Preserving Vector Animationcited by 6
  32. 2022Conditional Vector Graphics Generation for Music Cover Imagescited by 5
  33. 2026VectorGym: A Multi-Task Benchmark for SVG Code Generation, Sketching and Editingcited by 5
  34. 2021Scalable Font Reconstruction with Dual Latent Manifoldscited by 4
  35. 2023DeepCalliFont: Few-shot Chinese Calligraphy Font Synthesis by Integrating Dual-modality Generative Modelscited by 4
  36. 2024Image Vectorization with Depth: convexified shape layers with depth orderingcited by 4
  37. 2025BG-Triangle: B'ezier Gaussian Triangle for 3D Vectorization and Renderingcited by 4
  38. 2025Bezier Splatting for Fast and Differentiable Vector Graphics Renderingcited by 4

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