Systems and methods for mesh geometry prediction based on a centroid-normal representation

A method comprising:

• generating a low-resolution mesh from a high-resolution mesh, each of the low-resolution mesh and the high-resolution mesh representing a same media content;
• generating a first centroid-normal representation of the high-resolution mesh, the first centroid-normal representation comprising a first plurality of centroids and a first plurality of normal vectors;
• generating a second centroid-normal representation of the low-resolution mesh, the second centroid-normal representation comprising a second plurality of centroids and second plurality of normal vectors;
• using a centroid occupancy prediction model to generate, from the second plurality of centroids, a predicted representation corresponding to the first centroid-normal representation, wherein the centroid occupancy prediction model is trained according to a first learning algorithm;
• using a normal vector prediction model to generate, from the second plurality of normal vectors and the predicted representation, predicted normal vectors corresponding to the first centroid-normal representation, wherein the normal vector prediction model is trained according to a second learning algorithm;
• computing a centroid residual based on a difference between centroids of the predicted representation and the first plurality of centroids;
• computing a normal vector residual based on a difference between the predicted normal vectors and the first plurality of normal vectors;
• and
• transmitting, for decoding at a client device, encodings of the low-resolution mesh, the centroid residual, and the normal vector residual for reconstruction of the high-resolution mesh and display of the same media content.