1 citations · 1 across the 3 of their papers we have counts for
4 papers
DiffMath: Symbol- and Graph-Aware Latent Diffusion Transformer for Handwritten Mathematical Expression Generation
Wei Pan, Xuhan Zheng, Yilin Shi +5
Handwritten Mathematical Expression Generation (HMEG) is challenging due to the complex two-dimensional layouts and long-range structural dependencies of mathematical expressions.…
DiffInk: Glyph- and Style-Aware Latent Diffusion Transformer for Text to Online Handwriting Generation
Wei Pan, Huiguo He, Hiuyi Cheng +2
Deep generative models have advanced text-to-online handwriting generation (TOHG), which aims to synthesize realistic pen trajectories conditioned on textual input and style refere…
UniHDA: A Unified and Versatile Framework for Multi-Modal Hybrid Domain Adaptation
Hengjia Li, Yang Liu, Yuqi Lin +8
Recently, generative domain adaptation has achieved remarkable progress, enabling us to adapt a pre-trained generator to a new target domain. However, existing methods simply adapt…
Few shot font generation via transferring similarity guided global style and quantization local style
Wei Pan, Anna Zhu, Xinyu Zhou +2
Automatic few-shot font generation (AFFG), aiming at generating new fonts with only a few glyph references, reduces the labor cost of manually designing fonts. However, the traditi…