SketchyScene: Richly-Annotated Scene Sketches

@article{Zou2018SketchySceneRS,
  title={SketchyScene: Richly-Annotated Scene Sketches},
  author={Changqing Zou and Qian Yu and Ruofei Du and Haoran Mo and Yi-Zhe Song and Tao Xiang and Chengying Gao and Baoquan Chen and Hao Zhang},
  journal={ArXiv},
  year={2018},
  volume={abs/1808.02473}
}
We contribute the first large-scale dataset of scene sketches, SketchyScene, with the goal of advancing research on sketch understanding at both the object and scene level. The dataset is created through a novel and carefully designed crowdsourcing pipeline, enabling users to efficiently generate large quantities of realistic and diverse scene sketches. SketchyScene contains more than 29,000 scene-level sketches, 7,000+ pairs of scene templates and photos, and 11,000+ object sketches. All… CONTINUE READING
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References

Publications referenced by this paper.
SHOWING 1-10 OF 39 REFERENCES

A Neural Representation of Sketch Drawings

VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

Sketch Me That Shoe

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2016
VIEW 7 EXCERPTS

A performance evaluation of gradient field HOG descriptor for sketch based image retrieval

  • Computer Vision and Image Understanding
  • 2013
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

How do humans sketch objects?

  • ACM Trans. Graph.
  • 2012
VIEW 8 EXCERPTS
HIGHLY INFLUENTIAL

Learning to Sketch with Shortcut Cycle Consistency

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
  • 2018
VIEW 1 EXCERPT

Sketch-a-Classifier: Sketch-Based Photo Classifier Generation

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
  • 2018
VIEW 1 EXCERPT