Image processing method, deep learning model training method and device

The invention provides an image processing method and a deep learning model training method and device, relates to the technical field of artificial intelligence, in particular to the technical fields of computer vision, augmented reality, virtual reality, deep learning and the like, and can be applied to a meta-universe scene. The specific implementation scheme of the image processing method comprises the following steps: performing key point alignment operation on a to-be-processed image based on a predetermined image to obtain a target two-dimensional image; image features of the target two-dimensional image are extracted, and the image features represent target features matched with reconstruction parameters used for three-dimensional reconstruction of the to-be-processed image; identifying the image features to obtain target parameters for three-dimensional reconstruction of the to-be-processed image; and performing three-dimensional reconstruction on the target two-dimensional image based on the target