Naoto Inoue

Hi, I am Naoto Inoue (井上直人).

I am working as a Research Scientist at CyberAgent Inc. AILab. My primary research interest is now on automatic generation and assistive technology for multi-modal creative advertisements (Ads).

(intern) Please drop me an email with your resume if you're interested in working with me.

Previously, I got my Ph.D. in 2021 at The University of Tokyo in CV/CG under supervision of Prof. Toshihiko Yamasaki. My project was on developing novel methods and applications of generative modeling for visual content creation, especially using image-to-image translation. I was fortunate to collaborate with Adobe Research and Preferred Networks during my Ph.D. study.

Email / CV / Google Scholar / Twitter / Github / Linkedin

Recent news (selected)

[July 2024] One paper is accepted to ECCV2024.
[Feb. 2024] One paper is accepted to CVPR2024. We'll also host a Workshop on Graphic Design Understanding and Generation (GDUG) at CVPR2024.
[Feb. 2023] Two first-authored papers are accepted to CVPR2023.
[Apr. 2021] I passed the defense and got a Ph.D. degree at The University of Tokyo! I started to work as a Research Scientist at CyberAgent Inc. AILab (in Tokyo, Japan).

Projects

Workshop on Graphic Design Understanding and Generation (GDUG)
Kota Yamaguchi, Yizhi Wang, Naoto Inoue, Mayu Otani, Xueting Wang,
CVPR Workshops, in conjunction with CVPR2024
project

Preprints

	Multimodal Markup Document Models for Graphic Design Completion Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, Kota Yamaguchi arXiv 2024 paper / project / code
	LTSim: Layout Transportation-based Similarity Measure for Evaluating Layout Generation Mayu Otani, Naoto Inoue, Kotaro Kikuchi, Riku Togashi arxiv 2024 paper

Publications

	Can GPT Evaluate Graphic Designs Based on Design Principles? Daichi Haraguchi, Naoto Inoue, Wataru Shimoda, Hayato Mitani, Seiichi Uchida, Kota Yamaguchi SIGGRAPH ASIA technical communications 2024 paper / project / code
	LayoutFlow: Flow Matching for Layout Generation Julian Jorge Andrade Guerreiro, Naoto Inoue, Kento Masui, Mayu Otani, Hideki Nakayama ECCV 2024 project / paper / code
	OpenCOLE: Towards Reproducible Automatic Graphic Design Generation Naoto Inoue, Kento Masui, Wataru Shimoda, Kota Yamaguchi (: equal contribution) CVPRW (GDUG) 2024, extended abstract paper / code
	Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation Daichi Horita, Naoto Inoue, Kotaro Kikuchi, Kota Yamaguchi, Kiyoharu Aizawa CVPR 2024 (oral = top3%) project / paper / code
	Towards Flexible Multi-modal Document Models Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi CVPR 2023 (highlight = top10%) project / paper / code
	LayoutDM: Discrete Diffusion Model for Controllable Layout Generation Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi CVPR 2023 project / paper / code
	Generative Colorization of Structured Mobile Web Pages Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, Kota Yamaguchi WACV 2023 paper / code & dataset
	Learning from Synthetic Shadows for Shadow Detection and Removal Naoto Inoue, Toshihiko Yamasaki IEEE TCSVT 2021 paper / code & dataset
	RGB2AO: Ambient Occlusion Generation from RGB Images Naoto Inoue, Daichi Ito, Yannick Hold-Geoffroy, Long Mai, Brian Price, Toshihiko Yamasaki CGF (proc. of Eurographics) 2020 paper / supp. / video
	Learning to Trace: Expressive Line Drawing Generation from Photographs Naoto Inoue, Daichi Ito, Ning Xu, Jimei Yang, Brian Price, Toshihiko Yamasaki CGF (proc. of Pacific Graphics) 2019 paper / supp. / video
	Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing Ryosuke Furuta, Naoto Inoue, Toshihiko Yamasaki AAAI 2019 project / paper
	Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation Naoto Inoue, Ryosuke Furuta, Toshihiko Yamasaki, Kiyoharu Aizawa CVPR 2018 project / paper

Design: jonbarron