Abstract: Systems and embodiments herein describe an augmented reality (AR) object rendering system. The AR object rendering system receives an image, generates a set of noise parameters and a set of blur parameters for the image using a neural network trained on a paired dataset of images, identifies an AR object associated with the image, modifies the AR object using the set of noise parameters and the set of blur parameters, displays the modified augmented reality object within the image.

Abstract: A method for applying lighting conditions to a virtual object in an augmented reality (AR) device is described. In one aspect, the method includes generating, using a camera of a mobile device, an image, accessing a virtual object corresponding to an object in the image, identifying lighting parameters of the virtual object based on a machine learning model that is pre-trained with a paired dataset, the paired dataset includes synthetic source data and synthetic target data, the synthetic source data includes environment maps and 3D scans of items depicted in the environment map, the synthetic target data includes a synthetic sphere image rendered in the same environment map, applying the lighting parameters to the virtual object, and displaying, in a display of the mobile device, the shaded virtual object as a layer to the image.

Abstract: Systems and embodiments herein describe an augmented reality (AR) object rendering system. The AR object rendering system receives an image, generates a set of noise parameters and a set of blur parameters for the image using a neural network trained on a paired dataset of images, identifies an AR object associated with the image, modifies the AR object using the set of noise parameters and the set of blur parameters, displays the modified augmented reality object within the image.