Generating light-source-specific parameters for digital images using a neural network

A system comprising:

• one or more memory devices storing a digital image and a source-specific-lighting-estimation-neural network;
• and
• one or more server devices that cause the system to:
• extract a latent feature vector from the digital image utilizing a first subset of common network layers of the source-specific-lighting-estimation-neural network;
• extract a common feature vector from the latent feature vector utilizing a second subset of common network layers of the source-specific-lighting-estimation-neural network;
• and
• generate three-dimensional (“3D”) source-specific-lighting parameters based on the common feature vector utilizing parametric-specific-network layers of the source-specific-lighting-estimation-neural network by:
• generating 3D-source-specific-distance parameters estimating one or more distances of one or more light sources from a reference point based on the latent feature vector utilizing distance-parametric-specific-network layers of the parametric-specific-network layers;
• and
• generating source-specific-lighting parameters based on the common feature vector utilizing additional parametric-specific-network layers of the parametric-specific-network layers.

A method comprising:

• extracting a latent feature vector from a digital image utilizing a first subset of common network layers of a source-specific-lighting-estimation-neural network;
• extracting a common feature vector from the latent feature vector utilizing a second subset of common network layers of the source-specific-lighting-estimation-neural network;
• and
• generating three-dimensional (“3D”) source-specific-lighting parameters based on the common feature vector utilizing parametric-specific-network layers of the source-specific-lighting-estimation-neural network by:
• generating 3D-source-specific-distance parameters estimating one or more distances of one or more light sources from a reference point based on the latent feature vector utilizing distance-parametric-specific-network layers of the parametric-specific-network layers;
• and
• generating source-specific-lighting parameters based on the common feature vector utilizing additional parametric-specific-network layers of the parametric-specific-network layers.