VQ-SGen encodes each stroke as discrete shape and location codes and generates them autoregressively, producing more coherent and diverse creative sketches than prior methods.
What sketch explainability really means for downstream tasks? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 10997–11008, 2024
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VQ-SGen: A Vector Quantized Stroke Representation for Creative Sketch Generation
VQ-SGen encodes each stroke as discrete shape and location codes and generates them autoregressively, producing more coherent and diverse creative sketches than prior methods.