About the Graphics & Interaction Lab (Koyama Lab)
This is a newly established laboratory in 2025. We conduct research in computer graphics and human-computer interaction, particularly focusing on design support systems. The lab is operated in close collaboration with the laboratory led by Prof. Yutaka Ohtake (a.k.a. Ohtake & Koyama Lab).
Affiliation
Department of Precision Engineering, Graduate School of Engineering, The University of Tokyo
News
- 2025/12/15: Two posters (in collaboration with Igarashi Lab at UTokyo and OLM Digital) were accepted to SIGGRAPH Asia 2025.
- 2025/10/13: The member list was updated. Zihao Zhu has newly joined.
- 2025/09/06: Our collaborative research on Bayesian optimization was accepted to UIST 2025.
- 2025/07/02: Two posters (in collaboration with Igarashi Lab at UTokyo and OLM Digital) were accepted to SIGGRAPH 2025.
- 2025/04/15: The temporary website was launched.
- 2025/04/01: Assoc. Prof. Koyama joined the department and the new lab was established.
Research Topics
- Design support systems that incorporate subjective preferences through human-in-the-loop Bayesian optimization [Example]
- Computational design techniques for functional digital fabrication [Example]
- Novel expression techniques and production tools for creating digital content, especially animation [Example]
Members
Publications, etc.
Peer-Reviewed Journal/Conference Papers
- Ryogo Niwa, Shigeo Yoshida, Yuki Koyama, and Yoshitaka Ushiku. 2025. Cooperative Design Optimization through Natural Language Interaction. In Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology (UIST '25), pp.121:1–121:25. [doi:10.1145/3746059.3747789] [arXiv:2508.16077]
Peer-Reviewed Semi-Archival Extended Abstracts
- Jotaro Sakamiya, Akinobu Maejima, Yuki Koyama, I-Chao Shen, and Takeo Igarashi. 2025. Many-Inbetweens Browsing: Exploring Pre-Generated Inbetweens for 2D Animation. In SIGGRAPH Asia 2025 Posters, pp.52:1–52:3. [doi:10.1145/3757374.3771510]
- Atsushi Maruyama, Sosui Koga, Akinobu Maejima, Yuki Koyama, I-Chao Shen, and Takeo Igarashi. 2025. LayerPack: Training-Free Animation Inbetweening with Cross-Layer Consistency. In SIGGRAPH Asia 2025 Posters, pp.115:1–115:3. [doi:10.1145/3757374.3771440]
- Yuexiang Ji, Akinobu Maejima, Yotam Sechayk, Yuki Koyama, and Takeo Igarashi. 2025. Confidence Estimation of Few-Shot Patch-Based Learning for Anime-Style Colorization. In SIGGRAPH 2025 Posters, pp.40:1–40:2. [doi:10.1145/3721250.3742964]
- Masahiro Kono, Akinobu Maejima, Yuki Koyama, and Takeo Igarashi. 2025. Predicting Colors in Unpainted Gaps for Anime-Style Illustration. In SIGGRAPH 2025 Posters, pp.46:1–46:2. [doi:10.1145/3721250.3743027]
Others
- So Kuroki, Manami Nakagawa, Shigeo Yoshida, Yuki Koyama, and Kozuno Tadashi. 2025. LAPPI: Interactive Optimization with LLM-Assisted Preference-Based Problem Instantiation. arXiv preprint. [arXiv:2512.14138]
Access
Room 926 (Main Room) / Room 927 (Office of Assoc. Prof. Koyama), Engineering Building 14, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
For Prospective Graduate Students
If you wish to join our lab by applying to the graduate program from outside the Department of Precision Engineering, please contact Assoc. Prof. Koyama before submitting your application. Please include a brief summary of your background (especially your research and programming experience) and your general research interests.
For those who wish to apply to the IME program (rather than the Regular selection process), please contact me by the end of July and include evidence of strong expertise in Computer Graphics, Human-Computer Interaction, or Machine Learning. Please note that we may not be able to accept new students if we have already reached our capacity. Additionally, due to the high volume of application requests we receive, we may not be able to respond to all inquiries.
For those who wish to apply directly to the doctoral (Ph.D.) program (i.e., applicants who have obtained or are about to obtain a Master's degree from another institution), please understand that we place particular emphasis on the record of peer-reviewed publications and the relevance of the research interests.