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AG-NeRF: Attention-guided Neural Radiance Fields for Multi-height Large-scale Outdoor Scene Rendering
April 19, 2024, 4:44 a.m. | Jingfeng Guo, Xiaohan Zhang, Baozhu Zhao, Qi Liu
cs.CV updates on arXiv.org arxiv.org
Abstract: Existing neural radiance fields (NeRF)-based novel view synthesis methods for large-scale outdoor scenes are mainly built on a single altitude. Moreover, they often require a priori camera shooting height and scene scope, leading to inefficient and impractical applications when camera altitude changes. In this work, we propose an end-to-end framework, termed AG-NeRF, and seek to reduce the training cost of building good reconstructions by synthesizing free-viewpoint images based on varying altitudes of scenes. Specifically, to …
abstract applications arxiv attention cs.cv fields nerf neural radiance fields novel rendering scale synthesis type view
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