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DistGrid: Scalable Scene Reconstruction with Distributed Multi-resolution Hash Grid
May 8, 2024, 4:46 a.m. | Sidun Liu, Peng Qiao, Zongxin Ye, Wenyu Li, Yong Dou
cs.CV updates on arXiv.org arxiv.org
Abstract: Neural Radiance Field~(NeRF) achieves extremely high quality in object-scaled and indoor scene reconstruction. However, there exist some challenges when reconstructing large-scale scenes. MLP-based NeRFs suffer from limited network capacity, while volume-based NeRFs are heavily memory-consuming when the scene resolution increases. Recent approaches propose to geographically partition the scene and learn each sub-region using an individual NeRF. Such partitioning strategies help volume-based NeRF exceed the single GPU memory limit and scale to larger scenes. However, this …
abstract arxiv capacity challenges cs.cv distributed grid hash however memory mlp nerf network neural radiance field object quality resolution scalable scale type while
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