Kota Yamaguchi | DeepAI

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Featured Co-authors

Seiichi Uchida
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Takayuki Okatani
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Mayu Otani
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Tianlu Wang
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Edgar Simo-Serra
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Naoto Inoue
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Daichi Haraguchi
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Wataru Shimoda
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Kotaro Kikuchi
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Pongsate Tangseng
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∙ 09/05/2023

Towards Diverse and Consistent Typography Generation

In this work, we consider the typography generation task that aims at pr...

0 Wataru Shimoda, et al. ∙

∙ 03/31/2023

Towards Flexible Multi-modal Document Models

Creative workflows for generating graphical documents involve complex in...

0 Naoto Inoue, et al. ∙

∙ 03/14/2023

LayoutDM: Discrete Diffusion Model for Controllable Layout Generation

Controllable layout generation aims at synthesizing plausible arrangemen...

0 Naoto Inoue, et al. ∙

∙ 12/22/2022

Generative Colorization of Structured Mobile Web Pages

Color is a critical design factor for web pages, affecting important fac...

0 Kotaro Kikuchi, et al. ∙

∙ 10/05/2021

De-rendering Stylized Texts

Editing raster text is a promising but challenging task. We propose to a...

0 Wataru Shimoda, et al. ∙

∙ 08/03/2021

CanvasVAE: Learning to Generate Vector Graphic Documents

Vector graphic documents present visual elements in a resolution free, c...

0 Kota Yamaguchi, et al. ∙

∙ 08/02/2021

Constrained Graphic Layout Generation via Latent Optimization

It is common in graphic design humans visually arrange various elements ...

0 Kotaro Kikuchi, et al. ∙

∙ 06/24/2019

Serif or Sans: Visual Font Analytics on Book Covers and Online Advertisements

In this paper, we conduct a large-scale study of font statistics in book...

0 Yuto Shinahara, et al. ∙

∙ 04/26/2018

Recommending Outfits from Personal Closet

We consider grading a fashion outfit for recommendation, where we assume...

0 Pongsate Tangseng, et al. ∙

∙ 10/23/2017

Feedback-prop: Convolutional Neural Network Inference under Partial Evidence

In this paper, we propose an inference procedure for deep convolutional ...

0 Tianlu Wang, et al. ∙

∙ 08/06/2017

End-to-end learning potentials for structured attribute prediction

We present a structured inference approach in deep neural networks for m...

0 Kota Yamaguchi, et al. ∙

∙ 03/04/2017

Looking at Outfit to Parse Clothing

This paper extends fully-convolutional neural networks (FCN) for the clo...

0 Pongsate Tangseng, et al. ∙

∙ 07/25/2016

Automatic Attribute Discovery with Neural Activations

How can a machine learn to recognize visual attributes emerging out of o...

0 Sirion Vittayakorn, et al. ∙

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