6 papers · 1 filter
Seen2Scene: Completing Realistic 3D Scenes with Visibility-Guided Flow
Quan Meng, Yujin Chen, Lei Li +2
We present Seen2Scene, the first flow matching-based approach that trains directly on incomplete, real-world 3D scans for scene completion and generation. Unlike prior methods that…
DiffuMatch: Category-Agnostic Spectral Diffusion Priors for Robust Non-rigid Shape Matching
Emery Pierson, Lei Li, Angela Dai +1
Deep functional maps have recently emerged as a powerful tool for solving non-rigid shape correspondence tasks. Methods that use this approach combine the power and flexibility of…
SceneFactor: Factored Latent 3D Diffusion for Controllable 3D Scene Generation
Alexey Bokhovkin, Quan Meng, Shubham Tulsiani +1
We present SceneFactor, a diffusion-based approach for large-scale 3D scene generation that enables controllable generation and effortless editing. SceneFactor enables text-guided…
MeshArt: Generating Articulated Meshes with Structure-Guided Transformers
Daoyi Gao, Yawar Siddiqui, Lei Li +1
Articulated 3D object generation is fundamental for creating realistic, functional, and interactable virtual assets which are not simply static. We introduce MeshArt, a hierarchica…
LT3SD: Latent Trees for 3D Scene Diffusion
Quan Meng, Lei Li, Matthias Nießner +1
We present LT3SD, a novel latent diffusion model for large-scale 3D scene generation. Recent advances in diffusion models have shown impressive results in 3D object generation, but…
GenZI: Zero-Shot 3D Human-Scene Interaction Generation
Lei Li, Angela Dai
Can we synthesize 3D humans interacting with scenes without learning from any 3D human-scene interaction data? We propose GenZI, the first zero-shot approach to generating 3D human…