3 papers
cs.CV2026
GaussianGPT: Towards Autoregressive 3D Gaussian Scene Generation
Nicolas von Lützow, Barbara Rössle, Katharina Schmid +1
Most recent advances in 3D generative modeling rely on diffusion or flow-matching formulations. We instead explore a fully autoregressive alternative and introduce GaussianGPT, a t…
cs.CV2026
GenRecon: Bridging Generative Priors for Multi-View 3D Scene Reconstruction
Katharina Schmid, Nicolas von Lützow, Jozef Hladký +2
We introduce a new approach to high-fidelity 3D scene reconstruction from multi-view RGB images that tightly couples reconstruction with a strong generative 3D prior. We cast scene…
cs.CV2025
LinPrim: Linear Primitives for Differentiable Volumetric Rendering
Nicolas von Lützow, Matthias NieÃner
Volumetric rendering has become central to modern novel view synthesis methods, which use differentiable rendering to optimize 3D scene representations directly from observed views…