Methods for Generating 3D Scenes from a Single Image Using Depth Maps and Segmentation

This paper proposes a method for generating three-dimensional scenes from a single input image. The approach combines depth map prediction and semantic segmentation to enhance the accuracy of spatial reconstruction and ensure structural consistency. The architecture comprises three key components: depth analysis, semantic decomposition, and spatial regression. These modules interact synergistically to produce a coherent and detailed 3D reconstruction, demonstrating significant improvements in scene representation fidelity.