AI Depth Estimation in Video Conversion

What Is AI Depth Estimation and Why It Matters in Video Transformation

AI depth estimation allows systems to predict distance and spatial relationships from a single video source. By analyzing visual cues such as motion, perspective, lighting, and object boundaries, AI constructs a depth map that separates foreground, midground, and background layers. This spatial understanding is essential for converting flat videos into immersive formats where depth perception defines realism.

How Depth Mapping Enables 2D to 3D, 180°, and 360° Video Conversion

Once depth is estimated, AI can reposition virtual camera viewpoints within the scene. This makes it possible to expand the field of view, simulate perspective changes, and generate immersive formats such as 180-degree and 360-degree video. Without accurate depth information, these transformations would result in distortion or visual inconsistency.

BuildVR and Universal Video Transformation

BuildVR enables a single video to be converted into multiple immersive formats such as 360-degree, 180-degree, fisheye, cubemap, fulldome, and spatial XR outputs using AI-driven post-production. These experiences can be shared through a single BuildVR VR Verse link, allowing the same video to work seamlessly across web, VR headsets, and immersive displays without reshooting.