mlsanityData to 14 Oct 2026

Segmentation-Based Parametric Painting

arXiv 2311.14271 ↗First posted 24 Nov 2023cs.CV cs.LGcited by 3

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Abstract (arXiv)

We introduce a novel image-to-painting method that facilitates the creation of large-scale, high-fidelity paintings with human-like quality and stylistic variation. To process large images and gain control over the painting process, we introduce a segmentation-based painting process and a dynamic attention map approach inspired by human painting strategies, allowing optimization of brush strokes to proceed in batches over different image regions, thereby capturing both large-scale structure and fine details, while also allowing stylistic control over detail. Our optimized batch processing and patch-based loss framework enable efficient handling of large canvases, ensuring our painted outputs are both aesthetically compelling and functionally superior as compared to previous methods, as confirmed by rigorous evaluations. Code available at: https://github.com/manuelladron/semanticbasedpainting.git

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 15 of its 41 references that are in the map. First posted on arXiv 24 Nov 2023.

Builds on

15 of 41 references.

References · 15

  1. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
  2. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  3. 2020End-to-End Object Detection with Transformerscited by 7,414
  4. 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,694
  5. 2017A Neural Representation of Sketch Drawingscited by 313
  6. 2018Synthesizing Programs for Images using Reinforced Adversarial Learningcited by 72
  7. 2019Learning to Paint With Model-based Deep Reinforcement Learningcited by 71
  8. 2021Paint Transformer: Feed Forward Neural Painting with Stroke Predictioncited by 62
  9. 2020Stylized Neural Paintingcited by 50
  10. 2019Unsupervised Doodling and Painting with Improved SPIRALcited by 21
  11. 2022FRIDA: A Collaborative Robot Painter with a Differentiable, Real2Sim2Real Planning Environmentcited by 18
  12. 2020Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agentcited by 15
3 more
  1. 2020Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintingscited by 13
  2. 2020Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human Artistscited by 6
  3. 2019LPaintB: Learning to Paint from Self-Supervisioncited by 5

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.

  1. 2025Vectorized Region Based Brush Strokes for Artistic Renderingcited by 2
  2. 2025AnimatePainter: A Self-Supervised Rendering Framework for Reconstructing Painting Processcited by 1
  3. 2026Look, Compare and Draw: Differential Query Transformer for Automatic Oil Paintingcited by 1