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Depthify.ai [beta]

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Convert 2D videos to 3D Spatial Videos
Add depth to any photo or video for viewing on the Apple Vision Pro and Meta
Quest.
In the cloud [free during beta]
Convert Video
AppleOn your desktop
Download for MacOS (Apple Silicon)

How it works
1


CONVERT RGB TO DEPTH

We first run a monocular depth network which predicts the metric depth of each
pixel in each image.


2


CONVERT DEPTH TO STEREO

Next we conver the RGB and depth images into the left and right eyes of a stereo
image.


2


SPATIAL ENCODING

Finally we encode the results into either an .HEIC image or MV-HEVC video which
can be viewed on the Apple Vision Pro or Meta Quest.


FAQ
What is Depthify.ai?
Depthify.ai is a tool that allows you to convert RGB images into various spatial
formats compatible with Apple Vision Pro and Meta Quest.
What is the purpose of converting RGB images to spatial photos?
Converting RGB images to spatial photos is useful for various computer vision
and 3D modeling applications. It enables the creation of depth maps, stereo
images, and HEIC files for use with Apple Vision Pro and Meta Quest.
How does it work?
Depthify.ai can be used to convert .jpg or .png images or .mp4 or .mov videos
into a variety of downstream spatial formats:
 * It first converts from the RGB image to a depth map using a monocular depth
   estimation network. You can then visualize that depth network in a three.js
   viewer where we project the image onto a 3D mesh.
 * Next it converts the RGB-D image into a stereo image by computing the
   estimated disparity between the left and right eyes. The result of this step
   can be viewed as an anaglyph or a left and right eye stereo image.
 * Finally, we we convert the stereo image to a HEIC file which is compatible
   with Apple Vision Pro.

What depth estimation models are supported in the desktop app?
We support the following monocular depth estimation models:
 * Depth Anything Small
 * Depth Anything Base
 * dpt-hybrid-midas
 * dpt-large

Does it work offline?
Yes, Depthify.ai can work offline as all processing happens locally on your
device.
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