From the 1 of 15 linked papers with an AI index.
15 papers
Do Image Editing Models Understand Lighting?
Tim Küchler, Johann-Friedrich Feiden, Matthias NieÃner +1
The paper introduces a new real‑world HDR benchmark (3DLP) that measures how well generative image‑editing models can edit lighting by turning light probes on and off, and evaluate…
LATO.2: Factorized 3D Mesh Generation with Vertex and Topology Flow
Hang Long, Tianhao Zhao, Junkai Lin +8
Flow matching over carefully designed latent representations has recently emerged as a powerful paradigm for topology-aware mesh generation. Existing approaches, however, model ver…
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…
TriFlow: Generating Artist-Like 3D Mesh Topology via Nearest-Vertex Vector Fields
Haoxuan Li, Ziya Erkoç, Daniele Sirigatti +4
We present TriFlow, a new generative approach for producing compact 3D meshes with artist-like triangle topology directly from input geometry conditions such as signed distance fie…
OneCanvas: 3D Scene Understanding via Panoramic Reprojection
BartÅomiej Baranowski, Dave Zhenyu Chen, Matthias NieÃner
Existing approaches to 3D scene understanding in Vision-Language Models (VLMs) either rely on complex, model-specific geometry encoders or large training budgets in pursuit of spat…
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…