English(EN) Neural Radiance Fields for the Real World: A Survey

调查论文详细介绍了神经辐射场的进展和挑战

作者 PulseAugur 编辑部 · [1 个来源] · 2026-07-30 04:00

一篇新发表在arXiv上的调查论文详细介绍了神经辐射场（NeRFs）的进展和挑战。该论文由Wenhui Xiao撰写，全面回顾了NeRFs的理论创新、替代场景表示和新兴应用。它强调了NeRFs对计算机视觉和机器人技术的影响，同时也指出了当前研究的不足之处并提出了未来方向。 AI

影响全面概述了NeRFs，可能指导3D场景表示、计算机视觉和机器人技术领域的未来研究和开发。

排序理由该条目是一篇发表在arXiv上的调查论文，详细介绍了特定AI相关领域（神经辐射场）的进展。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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arXiv cs.CV TIER_1 English(EN) · Wenhui Xiao, Remi Chierchia, Rodrigo Santa Cruz, Xuesong Li, David Ahmedt-Aristizabal, Olivier Salvado, Clinton Fookes, Leo Lebrat · 2026-07-30 04:00

面向现实世界的神经辐射场：一项调查

arXiv:2501.13104v3 Announce Type: replace Abstract: Neural Radiance Fields (NeRFs) have remodeled 3D scene representation since release. NeRFs can effectively reconstruct complex 3D scenes from 2D images, advancing different fields and applications such as scene understanding, 3D…