We apply the U-Net model for compressive light field synthesis. Compared to methods based on stacked CNN and iterative algorithms, this method offers better image quality, uniformity and less computation.

翻译：我们将U-Net模型应用于压缩光场合成。与基于堆叠CNN和迭代算法的方法相比，该方法能够提供更优的图像质量、更高的均匀性以及更少的计算量。