Sparse View Synthesis without Camera Pose: A Construct-Optimize Approach

This paper proposes a novel construct-and-optimize method for sparse view synthesis without relying on pre-estimated camera poses. The method leverages monocular depth information and optimizes both camera poses and scene depths to achieve high-quality novel view synthesis, outperforming previous pose-free and pose-required methods.