17 citations · 17 across the 4 of their papers we have counts for
4 papers
Improving Handwritten OCR with Training Samples Generated by Glyph Conditional Denoising Diffusion Probabilistic Model
Haisong Ding, Bozhi Luan, Dongnan Gui +2
Constructing a highly accurate handwritten OCR system requires large amounts of representative training data, which is both time-consuming and expensive to collect. To mitigate the…
Zero-shot Generation of Training Data with Denoising Diffusion Probabilistic Model for Handwritten Chinese Character Recognition
Dongnan Gui, Kai Chen, Haisong Ding +1
There are more than 80,000 character categories in Chinese while most of them are rarely used. To build a high performance handwritten Chinese character recognition (HCCR) system s…
GlyphControl: Glyph Conditional Control for Visual Text Generation
Yukang Yang, Dongnan Gui, Yuhui Yuan +4
Recently, there has been an increasing interest in developing diffusion-based text-to-image generative models capable of generating coherent and well-formed visual text. In this pa…
APRNet: Attention-based Pixel-wise Rendering Network for Photo-Realistic Text Image Generation
Yangming Shi, Haisong Ding, Kai Chen +1
Style-guided text image generation tries to synthesize text image by imitating reference image's appearance while keeping text content unaltered. The text image appearance includes…