Imperial College London · Department of Computing

Dimitrios Gerogiannis

PhD candidate working on digital humans.

Hi, I'm Dimitrios, but most people, including me, prefer to call me Dimitris. I am a PhD candidate in the Department of Computing at Imperial College London, supervised by Professor Stefanos Zafeiriou. My research lies at the intersection of Machine Learning, Computer Vision, and Graphics, with a particular focus on Digital Humans.

Prior to beginning my PhD, I graduated with a Diploma (BSc+MEng) in Computer Science from the Computer Engineering and Informatics Department at the University of Patras, where I was advised by Professor Emmanouil Z. Psarakis for my thesis.

3D Human ModelingDiffusion ModelsVideo ModelsDistillation

Research Interests

Controllable Limited-View 3D Avatars

Reconstruction from limited-view setups, with an emphasis on single in-the-wild image inputs, using modern 3D representations together with generative priors, and making the avatars controllable, so they can convey realistic expressions, speech, and motion in general.

Diffusion Models

Large-scale (foundation) image diffusion models used as strong priors, and diffusion models that operate directly on 3D representations such as meshes, with a focus on human-centric models and the applications they unlock.

Video Models

Controllable video diffusion models for human-centric tasks, driven by audio and parametric head model parameters for accurate animation and reenactment, and their potential to be pushed toward real-time, streaming 2D avatars.

Distillation

Distilling strong 2D priors into lightweight generative models for 3D representations, so their potential carries over to 3D generation.

PII-Free Solutions

Human data is sensitive by nature. I am interested in PII-free solutions, fine-tuning large priors on synthetic human data to achieve realistic results without requiring real data during fine-tuning.

News

Latest first
Feb 2026 Started as a Student Researcher at Google AR/VR, London!
Jun 2025 Joined Meta Reality Labs, London, as a Research Scientist Intern!
Feb 2025 Arc2Avatar accepted at CVPR 2025!
Jul 2024 AnimateMe accepted at ECCV 2024!

Selected Publications

All publications →
Arc2Avatar: Generating Expressive 3D Avatars from a Single Image via ID Guidance teaser

CVPR 2025

Arc2Avatar: Generating Expressive 3D Avatars from a Single Image via ID Guidance

Dimitrios GerogiannisFoivos Paraperas PapantoniouRolandos Alexandros PotamiasAlexandros LattasStefanos Zafeiriou

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

@article{gerogiannis2025arc2avatar,
  title={Arc2Avatar: Generating Expressive 3D Avatars from a Single Image via ID Guidance},
  author={Gerogiannis, Dimitrios and Papantoniou, Foivos Paraperas and Potamias, Rolandos Alexandros and Lattas, Alexandros and Zafeiriou, Stefanos},
  journal={arXiv preprint arXiv:2501.05379},
  year={2025}
}
AnimateMe: 4D Facial Expressions via Diffusion Models teaser

ECCV 2024

AnimateMe: 4D Facial Expressions via Diffusion Models

Dimitrios GerogiannisFoivos Paraperas PapantoniouRolandos Alexandros PotamiasAlexandros LattasStylianos MoschoglouStylianos PloumpisStefanos Zafeiriou

European Conference on Computer Vision (ECCV), 2024

Paper
@inproceedings{gerogiannis2024animateme,
  title={AnimateMe: 4D facial expressions via diffusion models},
  author={Gerogiannis, Dimitrios and Papantoniou, Foivos Paraperas and Potamias, Rolandos Alexandros and Lattas, Alexandros and Moschoglou, Stylianos and Ploumpis, Stylianos and Zafeiriou, Stefanos},
  booktitle={European Conference on Computer Vision},
  pages={270--287},
  year={2024},
  organization={Springer}
}