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Found 16 papers, 5 papers with code
Total Disentanglement of Font Images into Style and Character Class Features
Second, it is demonstrated that the disentangled features produced by total disentanglement apply to a variety of tasks, including font recognition, character recognition, and one-shot font image generation.
Cross-Domain Image Conversion by CycleDM
By applying machine-printed and handwritten character images to the two modalities, CycleDM realizes the conversion between them.
Impression-CLIP: Contrastive Shape-Impression Embedding for Fonts
However, the correlation between fonts and their impression is weak and unstable because impressions are subjective.
What Text Design Characterizes Book Genres?
In the experiment, we found that semantic information is sufficient to determine the genre; however, text design is helpful in adding more discriminative features for book genres.
Font Impression Estimation in the Wild
To realize stable impression estimation even with such a dataset, we propose an exemplar-based impression estimation approach, which relies on a strategy of ensembling impressions of exemplar fonts that are similar to the input image.
Typographic Text Generation with Off-the-Shelf Diffusion Model
The proposed system is a novel combination of two off-the-shelf methods for diffusion models, ControlNet and Blended Latent Diffusion.
Font Style Interpolation with Diffusion Models
In this paper, we employ diffusion models to generate new font styles by interpolating a pair of reference fonts with different styles.
Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free Approach
Shortcut reasoning is an irrational process of inference, which degrades the robustness of an NLP model.
Local Style Awareness of Font Images
This paper proposes an attention mechanism to find important local parts.
Towards Diverse and Consistent Typography Generation
In this work, we consider the typography generation task that aims at producing diverse typographic styling for the given graphic document.
Analyzing Font Style Usage and Contextual Factors in Real Images
There are various font styles in the world.
TrueType Transformer: Character and Font Style Recognition in Outline Format
The outline format, such as TrueType, represents each character as a sequence of control points of stroke contours and is frequently used in born-digital documents.
Font Style that Fits an Image -- Font Generation Based on Image Context
We propose an end-to-end neural network that inputs the book cover, a target location mask, and a desired book title and outputs stylized text suitable for the cover.
Ranked #1 on
Font Generation
on Book Cover Dataset
Shared Latent Space of Font Shapes and Their Noisy Impressions
The difficulty is that the impression words attached to a font are often very noisy.
Character-independent font identification
Moreover, we analyzed the relationship between character classes and font identification accuracy.
