Papers Font Style Transfer
“Font Style Transfer” 태그가 달린 논문 8편 · 필터 해제
A Study on the Refining Handwritten Font by Mixing Font Styles
Handwritten fonts have a distinct expressive character, but they are often difficult to read due to unclear or inconsistent handwriting. FontFusionGAN (FFGAN) is a novel method for improving handwritten fonts by combinin…
AttributeFont Style TransferGenerative Adversarial NetworkStyle TransferFontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning
Automatic font generation is an imitation task, which aims to create a font library that mimics the style of reference images while preserving the content from source images. Although existing font generation methods hav…
Contrastive LearningDenoisingFont GenerationFont Style Transfer+2Font Representation Learning via Paired-glyph Matching
Fonts can convey profound meanings of words in various forms of glyphs. Without typography knowledge, manually selecting an appropriate font or designing a new font is a tedious and painful task. To allow users to explor…
Font Style TransferRepresentation LearningRetrievalStyle Transfer+1Learning Implicit Glyph Shape Representation
In this paper, we present a novel implicit glyph shape representation, which models glyphs as shape primitives enclosed by quadratic curves, and naturally enables generating glyph images at arbitrary high resolutions. Ex…
Font Style TransferStyle TransferVector GraphicsAttribute2Font: Creating Fonts You Want From Attributes
Font design is now still considered as an exclusive privilege of professional designers, whose creativity is not possessed by existing software systems. Nevertheless, we also notice that most commercial font products are…
AttributeFont Style TransferStyle TransferNetwork of Steel: Neural Font Style Transfer from Heavy Metal to Corporate Logos
We introduce a method for transferring style from the logos of heavy metal bands onto corporate logos using a VGG16 network. We establish the contribution of different layers and loss coefficients to the learning of styl…
Font Style TransferStyle TransferTypeface Completion with Generative Adversarial Networks
The mood of a text and the intention of the writer can be reflected in the typeface. However, in designing a typeface, it is difficult to keep the style of various characters consistent, especially for languages with lot…
Font Style TransferImage-to-Image TranslationTranslationTypeface CompletionMulti-Content GAN for Few-Shot Font Style Transfer
In this work, we focus on the challenge of taking partial observations of highly-stylized text and generalizing the observations to generate unobserved glyphs in the ornamented typeface. To generate a set of multi-conten…
Font Style TransferStyle Transfer