3 papers
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.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.CV2023
3D Scene Diffusion Guidance using Scene Graphs
Mohammad Naanaa, Katharina Schmid, Yinyu Nie
Guided synthesis of high-quality 3D scenes is a challenging task. Diffusion models have shown promise in generating diverse data, including 3D scenes. However, current methods rely…