1 · The core idea
How synthetic 3D from 2D works
A depth map is a grayscale image where each pixel encodes how far that part of the scene is from the camera: bright pixels are close, dark pixels are far.[web:1]
Using this map, software can “re‑render” the original picture from a slightly different angle and build a matching pair of views for your left and right eye.[web:1]
Imagine three layers in your photo: foreground, mid‑ground, background.
The depth map assigns different depth values to each layer, then shifts them sideways to simulate a new viewpoint.
2D photo → AI estimates depth map → two shifted images
(near vs far) (left eye, right eye)
2 · Processing your media
From your photo or video to a stereoscopic file
AI‑based converters like Owl3D analyze each frame, predict depth, and output common 3D formats such as side‑by‑side, top‑bottom, anaglyph, or RGB‑D that many XR devices understand.[web:1][web:4][web:5]
The original image and audio stay intact, while the added depth cues make faces, objects, and environments appear to float in front of or behind the screen.[web:5]
- Load your 2D photo or video into the converter.
- AI estimates a multi‑level depth map for each frame.[web:1][web:4]
- The app generates a left‑eye and right‑eye view with correct occlusion and parallax.[web:1]
- It exports a stereoscopic file ready for VR headsets, AR glasses, or 3D displays.[web:1][web:5]
Example
Take a regular phone clip of a birthday.
After conversion, you can re‑watch that same clip in 3D so candles stand out in front of the table and guests sit at different depth layers in the room.[web:5]
3 · What your eyes do
Why your brain sees depth
Human depth perception relies heavily on stereopsis: each eye sees a slightly different image, and the brain fuses them into a single scene with depth.[web:3]
Synthetic 3D exploits this by feeding each eye one of the two rendered views so your brain reconstructs the missing third dimension automatically.[web:3]