Angelita Ttl Models [ Trusted — 2024 ]
The 2D-3D encoder is based on a convolutional neural network (CNN) that extracts features from the input image. These features are then used to estimate the 3D scene geometry using a novel optical formulation that combines the principles of structure from motion (SfM) and stereo vision.