May 3, 2024, 4:53 a.m. | Guangyao Zhai, Evin P{\i}nar \"Ornek, Dave Zhenyu Chen, Ruotong Liao, Yan Di, Nassir Navab, Federico Tombari, Benjamin Busam

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.00915v1 Announce Type: cross
Abstract: We present EchoScene, an interactive and controllable generative model that generates 3D indoor scenes on scene graphs. EchoScene leverages a dual-branch diffusion model that dynamically adapts to scene graphs. Existing methods struggle to handle scene graphs due to varying numbers of nodes, multiple edge combinations, and manipulator-induced node-edge operations. EchoScene overcomes this by associating each node with a denoising process and enables collaborative information exchange, enhancing controllable and consistent generation aware of global constraints. This …

abstract arxiv cs.ai cs.cv cs.lg diffusion diffusion model echo edge generative graph graphs information interactive multiple nodes numbers struggle type via

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