most citedLayoutDM: Discrete Diffusion Model for Controllable Layout Generation

2 citations · 3 across the 5 of their papers we have counts for

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cs.CV2023

Towards Diverse and Consistent Typography Generation

Wataru Shimoda, Daichi Haraguchi, Seiichi Uchida +1

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…

cs.CV2023

Towards Flexible Multi-modal Document Models

Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra +2

Creative workflows for generating graphical documents involve complex inter-related tasks, such as aligning elements, choosing appropriate fonts, or employing aesthetically harmoni…

cs.CV20232 cited

LayoutDM: Discrete Diffusion Model for Controllable Layout Generation

Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra +2

Controllable layout generation aims at synthesizing plausible arrangement of element bounding boxes with optional constraints, such as type or position of a specific element. In th…

cs.CV2023

Generative Colorization of Structured Mobile Web Pages

Kotaro Kikuchi, Naoto Inoue, Mayu Otani +2

Color is a critical design factor for web pages, affecting important factors such as viewer emotions and the overall trust and satisfaction of a website. Effective coloring require…

cs.CV20161 cited

Automatic Attribute Discovery with Neural Activations

Sirion Vittayakorn, Takayuki Umeda, Kazuhiko Murasaki +3

How can a machine learn to recognize visual attributes emerging out of online community without a definitive supervised dataset? This paper proposes an automatic approach to discov…