Few-shot learning for facial expression recognition: a comprehensive survey
Facial expression recognition (FER) is utilized in various fields that analyze facial
expressions. FER is attracting increasing attention for its role in improving the convenience …
expressions. FER is attracting increasing attention for its role in improving the convenience …
[PDF][PDF] Intelligent Artistic Typography: A Comprehensive Review of Artistic Text Design and Generation
Y Bai, Z Huang, W Gao, S Yang… - APSIPA Transactions on …, 2024 - nowpublishers.com
Artistic text generation aims to amplify the aesthetic qualities of text while maintaining
readability. It can make the text more attractive and better convey its expression, thus …
readability. It can make the text more attractive and better convey its expression, thus …
Dg-font: Deformable generative networks for unsupervised font generation
Font generation is a challenging problem especially for some writing systems that consist of
a large number of characters and has attracted a lot of attention in recent years. However …
a large number of characters and has attracted a lot of attention in recent years. However …
Look closer to supervise better: One-shot font generation via component-based discriminator
Automatic font generation remains a challenging research issue due to the large amounts of
characters with complicated structures. Typically, only a few samples can serve as the …
characters with complicated structures. Typically, only a few samples can serve as the …
Few-shot font generation by learning fine-grained local styles
Few-shot font generation (FFG), which aims to generate a new font with a few examples, is
gaining increasing attention due to the significant reduction in labor cost. A typical FFG …
gaining increasing attention due to the significant reduction in labor cost. A typical FFG …
Cf-font: Content fusion for few-shot font generation
Content and style disentanglement is an effective way to achieve few-shot font generation. It
allows to transfer the style of the font image in a source domain to the style defined with a …
allows to transfer the style of the font image in a source domain to the style defined with a …
Xmp-font: Self-supervised cross-modality pre-training for few-shot font generation
Generating a new font library is a very labor-intensive and time-consuming job for glyph-rich
scripts. Few-shot font generation is thus required, as it requires only a few glyph references …
scripts. Few-shot font generation is thus required, as it requires only a few glyph references …
[PDF][PDF] Multiple heads are better than one: Few-shot font generation with multiple localized experts
S Park - Ar**v abs/2104, 2021 - academia.edu
A few-shot font generation (FFG) method has to satisfy two objectives: the generated images
should preserve the underlying global structure of the target character and present the …
should preserve the underlying global structure of the target character and present the …
Deepvecfont-v2: Exploiting transformers to synthesize vector fonts with higher quality
Vector font synthesis is a challenging and ongoing problem in the fields of Computer Vision
and Computer Graphics. The recently-proposed DeepVecFont achieved state-of-the-art …
and Computer Graphics. The recently-proposed DeepVecFont achieved state-of-the-art …
Diff-font: Diffusion model for robust one-shot font generation
Font generation presents a significant challenge due to the intricate details needed,
especially for languages with complex ideograms and numerous characters, such as …
especially for languages with complex ideograms and numerous characters, such as …