most citedLayoutDM: Discrete Diffusion Model for Controllable Layout Generation

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

collaborators

5 papers

cs.CV2024

LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generation

Mayu Otani, Naoto Inoue, Kotaro Kikuchi +1

We introduce a layout similarity measure designed to evaluate the results of layout generation. While several similarity measures have been proposed in prior research, there has be…

cs.CV2024

OpenCOLE: Towards Reproducible Automatic Graphic Design Generation

Naoto Inoue, Kento Masui, Wataru Shimoda +1

Automatic generation of graphic designs has recently received considerable attention. However, the state-of-the-art approaches are complex and rely on proprietary datasets, which c…

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…