I am interested in deep generative models such as GANs, diffusion models, and flow matching.
Affiliation
Apr 2020–Mar 2024Undergraduate School of Electrical and Electronic Engineering, Kyoto University
Apr 2024–PresentMaster's course of Department of Technology Management for Innovation, Graduate School of Engineering, University of Tokyo (Matsuo & Iwasawa Lab)
Publications
International Conference (Peer-reviewed)
Daiki Miyake, Akihiro Iohara, Yu Saito, and Toshiyuki Tanaka, "Negative-Prompt Inversion: Fast Image Inversion for Editing with Text-Guided Diffusion Models," 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, pp. 2063–2072.
Domestic Conference (Non-peer-reviewed)
Daiki Miyake, Masahiro Suzuki, and Yutaka Matsuo, "Minimizing Wasserstein Distance by Discriminator for Flow Matching," 2025 Annual Conference of the Japanese Society for Artificial Intelligence, 2025.
