近日，谷歌的研究人员再次证明了神经辐射场（NeRF）技术的强大潜力。他们成功利用一部iPhone实时渲染出精度达厘米级别的300平方米房间，这一成果有望为虚拟现实、增强现实以及机器人领域带来革命性的变革。
谷歌的研究团队通过巧妙地将NeRF技术与深度学习相结合，实现了实时渲染的高效运作。NeRF技术是一种通过神经网络学习场景几何结构和光照信息的先进方法，而此次研究则进一步展示了其在实际应用中的可行性。
此次实验中，研究人员将一部iPhone手机放置在房间内，利用手机摄像头捕捉空间信息，并通过NeRF模型实时渲染出房间的三维景象。相较于传统方法，NeRF技术在渲染速度和精度方面均有显著优势，为实时交互式场景渲染提供了新的可能。
英文翻译：
News Title: Google confirms the resurgence of NeRF technology
Keywords: Google, NeRF, real-time rendering
News Content:
Recently, Google researchers have once again demonstrated the incredible potential of the NeRF (Neural Radiance Fields) technology. By successfully rendering a 300-square-meter room with millimeter-level accuracy in real-time using an iPhone, the team has paved the way for groundbreaking innovations in virtual reality, augmented reality, and robotics.
By ingeniously combining the NeRF technology with deep learning, the Google research team has achieved efficient real-time rendering. NeRF is an advanced method that learns scene geometry and lighting information through neural networks, and this study further demonstrates its feasibility in practical applications.
In the experiment, researchers placed an iPhone in the room to capture spatial information through the phone’s camera and rendered the 3D scene in real-time using the NeRF model. Compared to traditional methods, NeRF technology has significant advantages in rendering speed and accuracy, opening up new possibilities for real-time interactive scene rendering.
【来源】https://www.36kr.com/p/2600146263227267
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