Systems and methods for generating and using primary ray-based implicit neural representations of three-dimensional objects

A processing system comprising:

• a memory storing a neural network;
• and
• one or more processors coupled to the memory and configured to generate an implicit neural representation of an object according to a method comprising:
• for each given training example of a plurality of training examples, the given training example including a reference point, a ray, a perpendicular foot of the ray relative to the reference point, an intersection indicator indicating whether the ray will intersect with the object, and a distance indicator indicating a shortest distance along the ray between the perpendicular foot and a surface of the object:
• generating, using a neural network, an intersection prediction based on the reference point, the ray, and the perpendicular foot of the ray relative to the reference point, wherein the intersection prediction represents a prediction of whether the ray will intersect with the object;
• generating, using the neural network, a distance prediction based on the reference point, the ray, and the perpendicular foot of the ray relative to the reference point, wherein the distance prediction represents a prediction of the shortest distance along the ray between the perpendicular foot and a surface of the object;
• comparing, using one or more processors of a processing system, the intersection indicator to the intersection prediction to generate an intersection loss value for the given training example;
• and
• generating, using the one or more processors, a distance loss value for the given training example based at least in part on a comparison of the distance indicator to the distance prediction;
• and
• modifying, using the one or more processors, one or more parameters of the neural network based at least in part on the intersection loss values and the distance loss values generated for the plurality of training examples.

A processing system comprising:

• a memory storing a neural network representing an implicit neural representation of an object;
• and
• one or more processors coupled to the memory and configured to:
• generate, using the neural network, an intersection prediction based on a reference point, a ray, and a perpendicular foot of the ray relative to the reference point, wherein the intersection prediction represents a prediction of whether the ray will intersect with the object;
• and
• generate, using the neural network, a distance prediction based on the reference point, the ray, and the perpendicular foot of the ray relative to the reference point, wherein the distance prediction represents a prediction of a shortest distance along the ray between the perpendicular foot and a surface of the object.