716 citations · 825 across the 31 of their papers we have counts for
5 papers · 1 filter
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…
Deep Attentive Time Warping
Shinnosuke Matsuo, Xiaomeng Wu, Gantugs Atarsaikhan +4
Similarity measures for time series are important problems for time series classification. To handle the nonlinear time distortions, Dynamic Time Warping (DTW) has been widely used…
FETNet: Feature Erasing and Transferring Network for Scene Text Removal
Guangtao Lyu, Kun Liu, Anna Zhu +2
The scene text removal (STR) task aims to remove text regions and recover the background smoothly in images for private information protection. Most existing STR methods adopt enco…
Vision Conformer: Incorporating Convolutions into Vision Transformer Layers
Brian Kenji Iwana, Akihiro Kusuda
Transformers are popular neural network models that use layers of self-attention and fully-connected nodes with embedded tokens. Vision Transformers (ViT) adapt transformers for im…
Contour Completion by Transformers and Its Application to Vector Font Data
Yusuke Nagata, Brian Kenji Iwana, Seiichi Uchida
In documents and graphics, contours are a popular format to describe specific shapes. For example, in the True Type Font (TTF) file format, contours describe vector outlines of typ…