SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks

no code implementations • 15 Aug 2019 • Junkun Jiang, Ruomei Wang, Shujin Lin, Fei Wang

Parsing sketches via semantic segmentation is attractive but challenging, because (i) free-hand drawings are abstract with large variances in depicting objects due to different drawing styles and skills; (ii) distorting lines drawn on the touchpad make sketches more difficult to be recognized; (iii) the high-performance image segmentation via deep learning technologies needs enormous annotated sketch datasets during the training stage.

Image Segmentation Segmentation +1

Multi-column Point-CNN for Sketch Segmentation

no code implementations • 28 Dec 2018 • Fei Wang, Shujin Lin, Hanhui Li, Hefeng Wu, Junkun Jiang, Ruomei Wang, Xiaonan Luo

Traditional sketch segmentation methods mainly rely on handcrafted features and complicate models, and their performance is far from satisfactory due to the abstract representation of sketches.