Multi View Depth

Multi-view depth estimation aims to reconstruct accurate 3D scene geometry from multiple 2D images, overcoming limitations of single-view methods. Current research focuses on improving accuracy and efficiency through novel algorithms that leverage cost volumes, deformable learning, and diffusion models, often incorporating iterative refinement and uncertainty estimation. These advancements are crucial for applications like autonomous driving, robotics, and 3D modeling, enabling more robust and reliable perception in complex environments.