April 4, 2024, 4:45 a.m. | Bingnan Ni, Huanyu Wang, Dongfeng Bai, Minghe Weng, Dexin Qi, Weichao Qiu, Bingbing Liu

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.02617v1 Announce Type: new
Abstract: Neural Radiance Fields (NeRF) give rise to learning-based 3D reconstruction methods widely used in industrial applications. Although prevalent methods achieve considerable improvements in small-scale scenes, accomplishing reconstruction in complex and large-scale scenes is still challenging. First, the background in complex scenes shows a large variance among different views. Second, the current inference pattern, $i.e.$, a pixel only relies on an individual camera ray, fails to capture contextual information. To solve these problems, we propose to …

3d reconstruction abstract applications arxiv cs.cv fields improvements industrial nerf neural radiance fields scale shows small torch type units variance

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