Indoor 3D scene reconstruction using a sparse 3D diffusion network with DiffRoom
Indoor 3D scene reconstruction using a sparse 3D diffusion network with DiffRoom
DiffRoom: Diffusion-based High-Quality 3D Room Reconstruction and Generation
arXiv paper abstract https://arxiv.org/abs/2306.00519
arXiv PDF paper https://arxiv.org/pdf/2306.00519.pdf
… present DiffRoom, a novel framework for tackling the problem of high-quality 3D indoor room reconstruction and generation, both of which are challenging due to the complexity and diversity of the room geometry.
Although diffusion-based generative models … impressive performance in image generation and object-level 3D generation, they have not yet been applied to room-level 3D generation due to their computationally intensive costs.
… propose a sparse 3D diffusion network that is efficient and possesses strong generative performance for Truncated Signed Distance Field (TSDF), based on a rough occupancy prior.
Inspired by KinectFusion’s incremental alignment and fusion of local SDFs, … propose a diffusion-based TSDF fusion approach that iteratively diffuses and fuses TSDFs, facilitating the reconstruction and generation of an entire room environment.
… introduce a curriculum diffusion learning paradigm that speeds up the training convergence process and enables high-quality reconstruction.
… mesh quality generated by … DiffRoom can even outperform the ground truth mesh provided by ScanNet.
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