A Novel Three-Staged Generative Model for Skeletonizing Chinese Characters with Versatile Styles

Keyphrases

• Generative Models 100%
• Chinese Characters 100%
• Skeletonized 100%
• Deep Learning Methods 50%
• Hausdorff Distance 50%
• Large Volume 25%
• Error-prone 25%
• Computational Challenges 25%
• Two-state 25%
• Image Analysis Technique 25%
• Image Reconstruction 25%
• Training Samples 25%
• Thinning Algorithm 25%
• FNet 25%
• F-measure 25%
• Vital Data 25%
• Traditional Image 25%
• Recognition Images 25%
• Style Transfer 25%
• Optical Character Recognition 25%
• Image-to-image Translation 25%
• Manual Labeling 25%
• Labeling Effort 25%
• G-Nets 25%
• Deep Generative Models 25%
• Translation Approach 25%
• X-Net 25%
• Stroke Extraction 25%
• Stroke Segmentation 25%
• Style Learning 25%

Computer Science

• Generative Model 100%
• Hausdorff Distance 100%
• Learning Style 50%
• Deep Learning 50%
• Experimental Result 50%
• Deep Learning 50%
• Image Analysis 50%
• Generalizability 50%
• Training Sample 50%
• Optical Character Recognition 50%
• Image Restoration 50%
• Image Translation 50%
• Deep Generative Model 50%