Alexander Pondaven

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I’m a PhD student at Oxford’s Torr Vision Group, working on controllable and interactive video generation — teaching world models to be steered, and even played.

Right now I’m a research intern at Odyssey, building multiplayer world models: generative environments that many players can act in at once. My recent paper ActionParty (ECCV 2026) is a step towards this — the first video world model that binds distinct actions to up to seven players in a scene.

  • 🎮  Now — Research intern at Odyssey, building multiplayer world models
  • 🎓  PhD (2023–) — Controllable video diffusion at Oxford AIMS CDT, funded by a Snap studentship
  • 📄  ECCV 2026ActionParty: binding actions to multiple players in a world model
  • 📄  CVPR 2025DiTFlow: motion transfer for diffusion transformers
  • 🌍  NeurIPS 2022Satellite inpainting with neural processes for climate

Curious about anything below? The publications, projects and experience pages have the details — otherwise the best way to reach me is by email.

news

Jun 1, 2026 Started a research internship at Odyssey, building multiplayer world models 🎮
Apr 3, 2026 ActionParty accepted to ECCV 2026 🎉 — a multi-subject world model that controls up to seven players at once. [arXiv]
Feb 27, 2025 DiTFlow — video motion transfer with diffusion transformers — accepted at CVPR 2025 🎉

selected publications

  1. ECCV
    ActionParty: Multi-Subject Action Binding in Generative Video Games
    In ECCV 2026
    ActionParty: Multi-Subject Action Binding in Generative Video Games
  2. CVPR
    Video Motion Transfer with Diffusion Transformers
    2025
    Video Motion Transfer with Diffusion Transformers
  3. NeurIPS-W
    Convolutional Neural Processes for Inpainting Satellite Images: Application to Water Body Segmentation
    Pondaven, Alexander, Bakler, Märt, Guo, Donghu, Hashim, Hamzah, Ignatov, Martin G, Bhatt, SamirFlaxman, Seth, Mishra, Swapnil, Alhajjar, Elie, and Zhu, Harrison
    In NeurIPS 2022 Workshop on Tackling Climate Change with Machine Learning 2022
    Convolutional Neural Processes for Inpainting Satellite Images: Application to Water Body Segmentation