Research

研究

  • Home
  • 研究業績
  • 生成モデル
  • 研究業績

    カテゴリー

    研究領域

    • パーソナライズ画像生成における参照画像の複製効果の定量的評価と改善

      大坂洋豊, 鈴木雅大, 松尾豊

      情報処理学会論文誌, 2025

    • Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search

      Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo, Hiroki Furuta.

      Advances in Neural Information Processing Systems (NeurIPS 2025), December 2025

    • Efficient Object-Centric Representation Learning using Masked Generative Modeling

      Akihiro Nakano, Masahiro Suzuki, Yutaka Matsuo

      Transactions on Machine Learning Research (TMLR), 2025

    • Real-time data-efficient portrait stylization via geometric alignment

      Xinrui Wang, Zhuoru Li, Xuanyu Yin, Xiao Zhou, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo

      Neural Networks, July 2025

    • Font conversion for steel product number recognition: A conditioned diffusion model approach

      Taehan Lee, Hyeyeon Choi, Bum Jun Kim, Hyeonah Jang, Donggeon Lee, Sang Woo Kim

      Advanced Engineering Informatics, Vol. 65, July 2025

    • The Geometry of Phase Transitions in Diffusion Models: Tubular Neighbourhoods and Singularities

      Manato Yaguchi*, Kotaro Sakamoto*, Ryosuke Sakamoto*, Masato Tanabe*, Masatomo Akagawa*, Yusuke Hayashi*, Masahiro Suzuki, Yutaka Matsuo (*Equal Contribution)

      Transactions on Machine Learning Research (TMLR), 2025

    • FullDiffusion: Diffusion Models Without Time Truncation

      Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo

      International Conference on Learning Representations (ICLR 2025), DeLTa Workshop, April 2025

    • FullDiffusion: Diffusion Models Without Time Truncation

      Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo

      International Conference on Learning Representations (ICLR 2025), DeLTa Workshop, April 2025

    • Image Referenced Sketch Colorization Based on Animation Creation Workflow

      Dingkun Yan*, Xinrui Wang*, Zhuoru Li, Suguru Saito, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo

      Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)

    • ガウス過程潜在変数モデルとニューラルネットワークの統合によるマルチエージェント記号創発と潜在表現学習

      中村友昭, 鈴木雅大, 谷口彰, 谷口忠大

      日本ロボット学会誌(レター), (2024)