A method and apparatus for generating a 3D joint point regression model are provided. An embodiment of the method includes: acquiring a sample image with a 2D label and a sample image with a 3D label; training part of channels of an output layer of a basic 3D joint point regression model, with the sample image with the 2D label as a first input, and with a joint point heat map set corresponding to the 2D label as a first expected output; and training all of the channels of the output layer, with the sample image with the 3D label as a second input, with a joint point heat map set corresponding to the 3D label as a first part output of a second expected output and with a joint point depth information map set corresponding to the 3D label as a second part output of the second expected output.