77 citations · 83 across the 5 of their papers we have counts for
6 papers
De-rendering Stylized Texts
Wataru Shimoda, Daichi Haraguchi, Seiichi Uchida +1
Editing raster text is a promising but challenging task. We propose to apply text vectorization for the task of raster text editing in display media, such as posters, web pages, or…
CanvasVAE: Learning to Generate Vector Graphic Documents
Kota Yamaguchi
Vector graphic documents present visual elements in a resolution free, compact format and are often seen in creative applications. In this work, we attempt to learn a generative mo…
Constrained Graphic Layout Generation via Latent Optimization
Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani +1
It is common in graphic design humans visually arrange various elements according to their design intent and semantics. For example, a title text almost always appears on top of ot…
Serif or Sans: Visual Font Analytics on Book Covers and Online Advertisements
Yuto Shinahara, Takuro Karamatsu, Daisuke Harada +2
In this paper, we conduct a large-scale study of font statistics in book covers and online advertisements. Through the statistical study, we try to understand how graphic designers…
Recommending Outfits from Personal Closet
Pongsate Tangseng, Kota Yamaguchi, Takayuki Okatani
We consider grading a fashion outfit for recommendation, where we assume that users have a closet of items and we aim at producing a score for an arbitrary combination of items in…
End-to-end learning potentials for structured attribute prediction
Kota Yamaguchi, Takayuki Okatani, Takayuki Umeda +2
We present a structured inference approach in deep neural networks for multiple attribute prediction. In attribute prediction, a common approach is to learn independent classifiers…