Kotaro Kikuchi is a research scientist at CyberAgent, Inc. His research interests include the application of machine learning and optimization techniques to support graphic design creation. He received his Ph.D. degree in 2022, under the supervision of Prof. Edgar Simo-Serra. During his doctoral studies, he had research internships at CyberAgent AI Lab and Microsoft Research Asia.
Featured Project
Multimodal Markup Document Models for Graphic Design Completion
Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, Kota Yamaguchi
arXiv preprint 2024
Fast Sprite Decomposition from Animated Graphics
Tomoyuki Suzuki, Kotaro Kikuchi, Kota Yamaguchi
ECCV 2024
Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
Daichi Horita, Naoto Inoue, Kotaro Kikuchi, Kota Yamaguchi, Kiyoharu Aizawa
CVPR 2024 (Oral)
LayoutDM: Discrete Diffusion Model for Controllable Layout Generation
Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi
CVPR 2023
Towards Flexible Multi-modal Document Models
Naoto Inoue, Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi
CVPR 2023 (Highlight)
Generative Colorization of Structured Mobile Web Pages
Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, Kota Yamaguchi
WACV 2023
[Ph.D. Thesis] Controllable Generation of Complex Graphic Layouts
Kotaro Kikuchi
Waseda University (2022)
Modeling Visual Containment for Web Page Layout Optimization
Kotaro Kikuchi, Mayu Otani, Kota Yamaguchi, Edgar Simo-Serra
Pacific Graphics 2021
Constrained Graphic Layout Generation via Latent Optimization
Kotaro Kikuchi, Edgar Simo-Serra, Mayu Otani, Kota Yamaguchi
ACM Multimedia 2021