Summary of Echoscene: Indoor Scene Generation Via Information Echo Over Scene Graph Diffusion, by Guangyao Zhai et al.
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion
by Guangyao Zhai, Evin Pınar Örnek, Dave Zhenyu Chen, Ruotong Liao, Yan Di, Nassir Navab, Federico Tombari, Benjamin Busam
First submitted to arxiv on: 2 May 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed EchoScene model is an interactive and controllable generative model that generates 3D indoor scenes on scene graphs. The dual-branch diffusion model dynamically adapts to the scene graph, overcoming existing methods’ limitations in handling varying node numbers, edge combinations, and manipulator-induced operations. EchoScene achieves this through an information echo scheme, which enables collaborative information exchange between nodes, enhancing controllable and consistent generation aware of global constraints. The generated scenes can be manipulated during inference by editing the input scene graph and sampling the noise in the diffusion model. Extensive experiments validate the approach, which surpasses previous methods in generation fidelity while maintaining scene controllability. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary EchoScene is a new way to create 3D indoor scenes using special graphs called scene graphs. Right now, it’s hard for computers to understand and generate these scenes because they have different numbers of nodes and edges. EchoScene helps by letting each node share information with the others, so that all the nodes work together to create a consistent and coherent scene. This means that you can edit the scene graph and the model will create a new 3D indoor scene based on your changes. The results are really good and the scenes look realistic. |
Keywords
» Artificial intelligence » Diffusion model » Generative model » Inference
