I'm a PhD candidate in the TUM Visual Computing and AI Lab under the supervision of Prof. Matthias Nießner.
Before starting my PhD I studied Informatics (M.Sc.) at TUM and Computer Science (B.Sc.) at TUHH.
My research interests lie in 3D generation, scene reconstruction, and novel view synthesis.
We introduce GaussianGPT, a transformer-based model that directly generates 3D Gaussians via next-token prediction, enabling full 3D scene generation, completion, and outpainting through autoregressive sampling.
We develop a differentiable volumetric rendering framework that uses transparent polyhedral primitives to represent scenes and render them in real-time. The primitives offer a bounded and compact representation that improves performance on specular areas and achieves better depth estimates while remaining compatible with advances developed for 3D Gaussians.
This website is based on Jon Barron's source code.