Teams at SpAItial AI

Conduct research on 3D generation, reconstruction, and world models. Design, implement, and evaluate state-of-the-art methods and prototypes, collaborate with the research team, present findings, and contribute to publications at leading computer vision, graphics, and machine learning conferences.

Develop and improve 3D reconstruction methods for geometry, appearance, materials, lighting, dynamic scenes, and large environments. Implement and evaluate modern scene representations such as Gaussian splats and radiance fields, optimize losses and priors, run benchmark experiments, and collaborate with research and engineering teams to productionize successful approaches.

Conduct advanced research in 3D reconstruction and novel view synthesis, covering geometry, appearance, materials, lighting, dynamics, neural rendering, and feed-forward models. Develop improved losses, priors, and optimization strategies; evaluate methods on public and internal benchmarks; and collaborate with engineering teams to productionize successful research.