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of 29
pro vyhledávání: '"Haraguchi, Daichi"'
In this paper, we demonstrate a total disentanglement of font images. Total disentanglement is a neural network-based method for decomposing each font image nonlinearly and completely into its style and content (i.e., character class) features. It us
Externí odkaz:
http://arxiv.org/abs/2403.12784
The purpose of this paper is to enable the conversion between machine-printed character images (i.e., font images) and handwritten character images through machine learning. For this purpose, we propose a novel unpaired image-to-image domain conversi
Externí odkaz:
http://arxiv.org/abs/2403.02919
This study analyzes the relationship between non-verbal information (e.g., genres) and text design (e.g., font style, character color, etc.) through the classification of book genres using text design on book covers. Text images have both semantic in
Externí odkaz:
http://arxiv.org/abs/2402.16356
Fonts convey different impressions to readers. These impressions often come from the font shapes. However, the correlation between fonts and their impression is weak and unstable because impressions are subjective. To capture such weak and unstable c
Externí odkaz:
http://arxiv.org/abs/2402.16350
This paper addresses the challenging task of estimating font impressions from real font images. We use a font dataset with annotation about font impressions and a convolutional neural network (CNN) framework for this task. However, impressions attach
Externí odkaz:
http://arxiv.org/abs/2402.15236
Recent diffusion-based generative models show promise in their ability to generate text images, but limitations in specifying the styles of the generated texts render them insufficient in the realm of typographic design. This paper proposes a typogra
Externí odkaz:
http://arxiv.org/abs/2402.14314
Fonts have huge variations in their styles and give readers different impressions. Therefore, generating new fonts is worthy of giving new impressions to readers. In this paper, we employ diffusion models to generate new font styles by interpolating
Externí odkaz:
http://arxiv.org/abs/2402.14311
Shortcut reasoning is an irrational process of inference, which degrades the robustness of an NLP model. While a number of previous work has tackled the identification of shortcut reasoning, there are still two major limitations: (i) a method for qua
Externí odkaz:
http://arxiv.org/abs/2312.09718
Autor:
Haraguchi, Daichi, Uchida, Seiichi
When we compare fonts, we often pay attention to styles of local parts, such as serifs and curvatures. This paper proposes an attention mechanism to find important local parts. The local parts with larger attention are then considered important. The
Externí odkaz:
http://arxiv.org/abs/2310.06337
In this work, we consider the typography generation task that aims at producing diverse typographic styling for the given graphic document. We formulate typography generation as a fine-grained attribute generation for multiple text elements and build
Externí odkaz:
http://arxiv.org/abs/2309.02099