CVPR2025
FreeScene: Mixed Graph Diffusion for 3D Scene Synthesis from Free Prompts
Tongyuan Bai, Wangyuanfan Bai, Dong Chen, Tieru Wu, Manyi Li, Rui Ma
Abstract
table chair chair cabinet chair chair table chair chair cabinet chair chair * Corresponding author ation. Our MG-DiT not only excels at preserving graph structure but also offers broad applicability to various tasks, including, but not limited to, text-to-scene, graph-to-scene, and rearrangement, all within a single model. Extensive experiments demonstrate that FreeScene provides an efficient and user-friendly solution that unifies text-based and graphbased scene synthesis, outperforming state-of-the-art methods in terms of both generation quality and controllability in a range of applications.