Yuta Oshima

I’m a first-year PhD student at The University of Tokyo, mentored by Professor Yutaka Matsuo.

My research enthusiasm lies in understanding and controlling video generation models. My ultimate goal is to achieve an interactive and highly controllable generation that fully leverages the video model’s priors on world dynamics.

selected publications

  1. Preprint
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    MultiBanana: A Challenging Benchmark for Multi-Reference Text-to-Image Generation
    Yuta Oshima, Daiki Miyake, Kohsei Matsutani, Yusuke Iwasawa, Masahiro Suzuki, Yutaka Matsuo, and Hiroki Furuta
    2025
    arXiv Code Website
  2. NeurIPS
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    Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search
    Yuta Oshima, Masahiro Suzuki, Yutaka Matsuo, and Hiroki Furuta
    In Advances in Neural Information Processing Systems (NeurIPS), 2025
    arXiv Code Website
  3. NeurIPS
    ADOPT: Modified Adam Can Converge with Any \beta_2 with the Optimal Rate
    Shohei Taniguchi, Keno Harada, Gouki Minegishi, Yuta Oshima, Seong Cheol Jeong, Go Nagahara, Tomoshi Iiyama, Masahiro Suzuki, Yusuke Iwasawa, and Yutaka Matsuo
    In Advances in Neural Information Processing Systems (NeurIPS), 2024
    arXiv Code
  4. ICLR WS
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    SSM Meets Video Diffusion Models: Efficient Video Generation with Structured State Spaces
    Yuta Oshima, Shohei Taniguchi, Masahiro Suzuki, and Yutaka Matsuo
    In 5th Workshop on Practical ML for Limited/Low Resource Settings (ICLR Workshop), 2024
    arXiv Code