Apparatuses, systems, and techniques for neural network training and inference using multiple processor resources. In at least one embodiment, one or more neural networks are used to generate one or more second versions of one or more images based, at least in part, on a first version of the one or more images and a three-dimensional representation of the one or more first versions of the one or more images.
TECHNIQUES FOR TRAINING AND INFERENCE USING MULTIPLE PROCESSOR RESOURCES