4 papers
From Diffusion to Rectified Flow: Rethinking Text-Based Segmentation
Zishen Qu, Xuesong Li, Haijian Gu +5
Text-based image segmentation aims to delineate object boundaries within an image from text prompts, offering higher flexibility and broader application scope compared to tradition…
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…
LT3SD: Latent Trees for 3D Scene Diffusion
Quan Meng, Lei Li, Matthias NieÃner +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…
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…