A computer-implemented method for processing three-dimensional information, comprising: obtaining target image data for a target three-dimensional object, wherein the target image data is a real picture of the target three-dimensional object; obtaining first sample two-dimensional projection information and first sample three-dimensional information of first sample three-dimensional objects, wherein the first sample two-dimensional projection information comprises object contour information and feature point information of the first sample three-dimensional objects; performing model training based on the first sample two-dimensional projection information and the first sample three-dimensional information to obtain a first data model, by using the first sample two-dimensional projection information as input data of the first data model to be trained and the first sample three-dimensional information as output data of the first data model to be trained; obtaining third sample image data for third sample three-dimensional objects, wherein the third sample image data is real pictures of the third sample three-dimensional objects; determining third sample two-dimensional projection information of the third sample three-dimensional objects from the third sample image data; obtaining third sample three-dimensional information of the third sample three-dimensional objects by performing a model processing on the third sample two-dimensional projection information using the first data model, wherein the third sample two-dimensional projection information comprises object contour information and feature point information of the third sample three-dimensional objects; performing model training based on the third sample image data and the third sample three-dimensional information to obtain a third data model, by using the third sample image data as input data of the third data model to be trained and the third sample three-dimensional information as output data of the third data model to be trained; and obtaining target three-dimensional information of the target three-dimensional object by inputting the target image data into the third data model. obtaining target image data for a target three-dimensional object, wherein the target image data is a real picture of the target three-dimensional object; obtaining first sample two-dimensional projection information and first sample three-dimensional information of first sample three-dimensional objects, wherein the first sample two-dimensional projection information comprises object contour information and feature point information of the first sample three-dimensional objects; performing model training based on the first sample two-dimensional projection information and the first sample three-dimensional information to obtain a first data model, by using the first sample two-dimensional projection information as input data of the first data model to be trained and the first sample three-dimensional information as output data of the first data model to be trained; obtaining third sample image data for third sample three-dimensional objects, wherein the third sample image data is real pictures of the third sample three-dimensional objects; determining third sample two-dimensional projection information of the third sample three-dimensional objects from the third sample image data; obtaining third sample three-dimensional information of the third sample three-dimensional objects by performing a model processing on the third sample two-dimensional projection information using the first data model, wherein the third sample two-dimensional projection information comprises object contour information and feature point information of the third sample three-dimensional objects; performing model training based on the third sample image data and the third sample three-dimensional information to obtain a third data model, by using the third sample image data as input data of the third data model to be trained and the third sample three-dimensional information as output data of the third data model to be trained; and obtaining target three-dimensional information of the target three-dimensional object by inputting the target image data into the third data model.