A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from Single RGB Images
A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from Single RGB Images
Estimating depth from a single RGB image is an ill-posed and inherently ambiguous problem. State-of-the-art deep learning methods can now estimate accurate 2D depth maps, but when the maps are projected into 3D, they lack local detail and are often highly distorted. We propose a fast-to-train two-streamed CNN that predicts …