depth-map-generation

To generate a depth map from a 2D image, provide a high-quality input photo and select a processing mode to estimate depth. This produces a grayscale, normalized, or metric depth output suitable for 3D effects and parallax animations.

Monocular depth estimation calculates spatial depth from a single 2D image without requiring stereo camera inputs. You need it to transform flat photographs into depth-aware representations for VR/AR experiences, bokeh effects, and architectural visualization.

Yes, you can use depth maps for VR and AR integration by generating metric or grayscale depth data. This depth-aware output enables accurate spatial mapping and immersive environmental rendering within AR and VR applications.

Yes, this depth estimation supports portrait bokeh and focus stacking by generating precise depth data. It enables depth-based blur, natural background separation, and depth-aware focus planning for high-quality photography.

Max mode prioritizes maximum accuracy for precise depth map generation, while eco mode optimizes for faster processing speed. Choose max for high-fidelity 3D parallax or metric outputs, and eco for rapid depth estimation.

Generating depth maps from single photos relies on monocular estimation, which may struggle with uniform surfaces or ambiguous spatial geometry. High-quality input images are required to ensure accurate depth-based focus and stereo generation.