Machine learningDeep Learning, 3D Vision, Generative Models
神经辐射场 (NeRF)
神经辐射场 (NeRF) 是 Mildenhall 等人在 2020 年提出的一种方法，它将三维场景表示为一个由神经网络参数化的连续函数。给定场景的多视图图像，NeRF 学习预测任何空间位置和视角下的光线颜色和密度，从而实现具有照片级真实感质量的新视角合成。
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来源
- Mildenhall, B., Srinivasan, P. P., Tancik, M., Barron, J. T., Ramamoorthi, R., & Ng, R. (2020). NeRF: Representing scenes as neural radiance fields for view synthesis. In Computer Vision-ECCV 2020: 16th European Conference (pp. 405-421). Springer International Publishing. DOI: 10.1007/978-3-030-58452-8_24 ↗
如何引用本页
ScholarGate. (2026, June 3). NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis. ScholarGate. https://scholargate.app/zh/deep-learning/neural-radiance-fields
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