Papers › SketchyCOCO: Image Generation from Freehand Scene Sketches

SketchyCOCO: Image Generation from Freehand Scene Sketches

5 Mar 2020CVPR 2020 6arXiv:2003.02683archive 2025-07-28

Chengying Gao, Qi Liu, Qi Xu, Li-Min Wang, Jianzhuang Liu, Changqing Zou

We introduce the first method for automatic image generation from scene-level freehand sketches. Our model allows for controllable image generation by specifying the synthesis goal via freehand sketches. The key contribution is an attribute vector bridged Generative Adversarial Network called EdgeGAN, which supports high visual-quality object-level image content generation without using freehand sketches as training data. We have built a large-scale composite dataset called SketchyCOCO to support and evaluate the solution. We validate our approach on the tasks of both object-level and scene-level image generation on SketchyCOCO. Through quantitative, qualitative results, human evaluation and ablation studies, we demonstrate the method's capacity to generate realistic complex scene-level images from various freehand sketches.

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Code

sysu-imsl/EdgeGAN mentioned on GitHubtf report
sysu-imsl/SketchyCOCO mentioned on GitHubtf report

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Tasks

AttributeImage GenerationObjectSketch-to-Image Translation

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Datasets

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SketchyCOCO

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Sketch-to-Image Translation Scribble EdgeGAN Accuracy 100% #2 of 2 Archive leaderboard report
Sketch-to-Image Translation Scribble EdgeGAN FID 259.7 #2 of 2 Archive leaderboard report
Sketch-to-Image Translation Scribble EdgeGAN Human (%) 25.20 #2 of 2 Archive leaderboard report
Sketch-to-Image Translation SketchyCOCO EdgeGAN Accuracy 75.8% #2 of 2 Archive leaderboard report
Sketch-to-Image Translation SketchyCOCO EdgeGAN FID 169.7 #2 of 2 Archive leaderboard report
Sketch-to-Image Translation SketchyCOCO EdgeGAN Human (%) 22.55 #2 of 2 Archive leaderboard report

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