Method for training light filling model, image processing method, and related device thereof

Abstract

This application relates to the technical field of images, and provides a method for training a light filling model, an image processing method, and a related device thereof. The method includes: obtain an albedo portrait training image and a normal portrait training image; performing processing on the refined matte portrait training image, the plurality of frames of OLAT training images, and a panoramic environment image to obtain a to-be-light-filled composite rendered image and a light-filled composite rendered image; and training an initial light filling model by using the albedo portrait training image, the normal portrait training image, the to-be-light-filled composite rendered image, and the light-filled composite rendering image, to obtain a target light filling model. In this application, by using a deep learning method, a portrait and an environment in a to-be-photographed scene are filled with light to improve sharpness and contrast of the portrait.