Neural Layer to Depth (MoGe-2) COP

Estimates scene information from an input image using Microsoft’s MoGe-2 model. The model approximates a metric-scale depth map, normal map, and position map, along with a sky mask and a 3D point cloud of the visible image surfaces.

The following are the different versions of this node that you can add to your scene. These are the same node except they differ in what’s displayed.

Neural Layer to Mask (SAM2) COP

Creates an image segmentation mask based on prompts using Meta’s SAM 2 model, which uses a learned neural network to predict object membership. Add prompts to tell the model which areas you want to mask in the original image. A prompt identifies an object, and the model predicts a mask that covers all pixels belonging to that object. Prompts are positive or negative coordinates, as well as an optional Bounding Box or mask input.