Research group, D-21 PWr
genwro.AI
Generative models: diffusion, 3D, uncertainty and explainability.
Research topics: generative models · diffusion models · computer vision · uncertainty modeling · model distillation · few-shot learning
Group leadership
genwro.ai develops generative and diffusion models, computer vision, 3D representations, uncertainty modeling, distillation, few-shot learning, explainable AI and machine unlearning.
Members
15 members- Maciej ZiębaGroup head
- Kamil AdamczewskiMember
- Przemyslaw DolataMember
- Weronika JakubowskaMember
- Oleksii FurmanMember
- Katarzyna JabłońskaMember
- Wojciech KozłowskiMember
- Mateusz GrzesiukMember
- Marcin KostrzewaMember
- Radosław KuczbańskiMember
- Łukasz LenkiewiczMember
- Patryk WielopolskiMember
- Konrad KaranowskiMember
- Dawid KopećMember
- Jakub BalickiMember
Recent publications
HyConEx: Hypernetwork classifier with counterfactual explanations for tabular data
Neurocomputing, 2026
MultiPlaneNeRF: Neural radiance field with non-trainable representation
Expert Systems with Applications, 2025
KeyFace: expressive audio-driven facial animation for long sequences via KeyFrame interpolation
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Neural surface priors for editable Gaussian Splatting
2025
Image enhancement with boosted Schrödinger Bridge
2025
DiCoFlex: Model-agnostic diverse counterfactuals with flexible control
ArXiv.org, 2025