mlsanityData to 7 Oct 2026

A Neural Representation of Sketch Drawings

arXiv 1704.03477 ↗First posted 11 Apr 2017cs.NE cs.LG stat.MLcited by 311

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Cited by 23 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We present sketch-rnn, a recurrent neural network (RNN) able to construct stroke-based drawings of common objects. The model is trained on thousands of crude human-drawn images representing hundreds of classes. We outline a framework for conditional and unconditional sketch generation, and describe new robust training methods for generating coherent sketch drawings in a vector format.

Key facts. Cited by 311 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Apr 2017.

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Citing papers per year: 2019: 1; 2020: 0; 2021: 53; 2022: 52; 2023: 60; 2024: 49; 2025: 49; 2026: 47.

311 papers.

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  1. 2021Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarkscited by 388
  2. 2022VectorMapNet: End-to-end Vectorized HD Map Learningcited by 243
  3. 2021Im2Vec: Synthesizing Vector Graphics without Vector Supervisioncited by 114
  4. 2022VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Modelscited by 112
  5. 2021Deep Generative Models in Engineering Design: A Reviewcited by 103
  6. 2021CanvasVAE: Learning to Generate Vector Graphic Documentscited by 93
  7. 2021SceneGen: Learning to Generate Realistic Traffic Scenescited by 83
  8. 2021Computer-Aided Design as Languagecited by 82
  9. 2022Learning to generate line drawings that convey geometry and semanticscited by 82
  10. 2023CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Notcited by 79
  11. 2022Towards Layer-wise Image Vectorizationcited by 77
  12. 2023SVGDreamer: Text Guided SVG Generation with Diffusion Modelcited by 75
38 more
  1. 2022Probing Representation Forgetting in Supervised and Unsupervised Continual Learningcited by 74
  2. 2023AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZcited by 74
  3. 2023IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformerscited by 73
  4. 2025OmniSVG: A Unified Scalable Vector Graphics Generation Modelcited by 71
  5. 2021Vitruvion: A Generative Model of Parametric CAD Sketchescited by 66
  6. 2022CLIPascene: Scene Sketching with Different Types and Levels of Abstractioncited by 63
  7. 2024Empowering LLMs to Understand and Generate Complex Vector Graphicscited by 63
  8. 2023Word-As-Image for Semantic Typographycited by 62
  9. 2021Paint Transformer: Feed Forward Neural Painting with Stroke Predictioncited by 61
  10. 2024MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Modelscited by 61
  11. 2022CLIPasso: Semantically-Aware Object Sketchingcited by 57
  12. 2023DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Modelscited by 54
  13. 2021Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networkscited by 50
  14. 2021StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrievalcited by 50
  15. 2022FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Contextcited by 47
  16. 2023Breathing Life Into Sketches Using Text-to-Video Priorscited by 47
  17. 2025MakeAnything: Harnessing Diffusion Transformers for Multi-Domain Procedural Sequence Generationcited by 43
  18. 2021Rethinking Style Transfer: From Pixels to Parameterized Brushstrokescited by 42
  19. 2021HDMapGen: A Hierarchical Graph Generative Model of High Definition Mapscited by 40
  20. 2021Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Conceptscited by 40
  21. 2021Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwritingcited by 38
  22. 2021More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrievalcited by 38
  23. 2021Sketch Your Own GANcited by 37
  24. 2024ProcessPainter: Learn Painting Process from Sequence Datacited by 37
  25. 2023Choice Over Control: How Users Write with Large Language Models using Diegetic and Non-Diegetic Promptingcited by 36
  26. 2024Chat2SVG: Vector Graphics Generation with Large Language Models and Image Diffusion Modelscited by 36
  27. 2022Content and Style Aware Generation of Text-line Images for Handwriting Recognitioncited by 35
  28. 2023Disentangling Writer and Character Styles for Handwriting Generationcited by 35
  29. 2021Continual Learning for Recurrent Neural Networks: an Empirical Evaluationcited by 34
  30. 2022Sketch3T: Test-Time Training for Zero-Shot SBIRcited by 34
  31. 2022ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Modelcited by 34
  32. 2024Text-to-Vector Generation with Neural Path Representationcited by 32
  33. 2023Towards Flexible Multi-modal Document Modelscited by 30
  34. 2024SketchAgent: Language-Driven Sequential Sketch Generationcited by 30
  35. 2021Scene Synthesis via Uncertainty-Driven Attribute Synchronizationcited by 29
  36. 2024TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learningcited by 29
  37. 2024It's All About Your Sketch: Democratising Sketch Control in Diffusion Modelscited by 28
  38. 2022Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrievalcited by 27

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