April 1, 2024, 4:45 a.m. | Zhuopeng Li, Yilin Zhang, Chenming Wu, Jianke Zhu, Liangjun Zhang

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.20032v1 Announce Type: new
Abstract: The rapid growth of 3D Gaussian Splatting (3DGS) has revolutionized neural rendering, enabling real-time production of high-quality renderings. However, the previous 3DGS-based methods have limitations in urban scenes due to reliance on initial Structure-from-Motion(SfM) points and difficulties in rendering distant, sky and low-texture areas. To overcome these challenges, we propose a hybrid optimization method named HO-Gaussian, which combines a grid-based volume with the 3DGS pipeline. HO-Gaussian eliminates the dependency on SfM point initialization, allowing for …

abstract arxiv cs.cv enabling growth however hybrid limitations low neural rendering optimization production quality real-time reliance rendering texture type urban

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