Interaction Field Matching: Overcoming Limitations of Electrostatic Models

Electrostatic field matching (EFM) has recently appeared as a novel physics-inspired paradigm for data generation and transfer using the idea of an electric capacitor. However, it requires modeling electrostatic fields using neural networks, which is non-trivial because of the necessity to take into account the complex field outside the capacitor plates. In this paper, we propose Interaction Field Matching (IFM), a generalization of EFM which allows using general interaction fields beyond the electrostatic one. Furthermore, inspired by strong interactions between quarks and antiquarks in physics, we design a particular interaction field realization which solves the problems which arise when modeling electrostatic fields in EFM. We show the performance on a series of toy and image data transfer problems.

@article{manukhov2025_2506.02950,
  title={ Interaction Field Matching: Overcoming Limitations of Electrostatic Models },
  author={ Stepan I. Manukhov and Alexander Kolesov and Vladimir V. Palyulin and Alexander Korotin },
  journal={arXiv preprint arXiv:2506.02950},
  year={ 2025 }
}