Depth Map Interpolation for Novel View Synthesis

This paper presents an algorithm for depth map interpolation used to generate novel views from multiple camera positions. We investigate both a traditional stereo-based approach with two cameras and extend it to a four-camera setup in a rectangular configuration, approximating placement at monitor corners, enabling view synthesis at any point within the rectangular field. Our method employs state-of-the-art neural networks for disparity computation, followed by a pipeline that adapts to both configurations.