We propose X-NeRF, a novel method to learn a Cross-Spectral scene representation given images captured from cameras with different light spectrum sensitivity, based on the Neural Radiance Fields formulation. X-NeRF optimizes camera poses across spectra during training and exploits Normalized Cross-Device Coordinates (NXDC) to render images of different modalities from arbitrary viewpoints, which are aligned and at the same resolution. Experiments on 16 forward-facing scenes, featuring color, multi-spectral and infrared images, confirm the effectiveness of X-NeRF at modeling Cross-Spectral scene representations.

翻译：我们建议采用X-NERF这一新的方法,根据神经辐射场的配制,从具有不同光谱敏感度的照相机拍摄到不同光谱的图像,学习跨频谱场景图象。 X-NERF优化照相机在培训期间跨光谱,利用标准化的交叉定位坐标(NXDC),从任意的角度制作不同模式的图像,这些视角与同一分辨率一致。对16个前视场的实验,以颜色、多光谱和红外图像为特征,证实了X-NERF在建模跨频谱场场面上的有效性。