The invention relates to the technical field of three-dimensional
computer graphics and
artificial intelligence, in particular to a multi-
modal condition guidance-based 3D printing model construction method, which specifically comprises the following steps of: S1, constructing a basic model by taking an
open source model as a
backbone network architecture; s2, constructing a submerged space
diffusion model constrained by
view angle parameters; s3, constructing a
pairing data set; s4, training the submerged space
diffusion model based on the
paired data set; s5, receiving a text prompt input by a user, and defining a group of standard
view angle parameter sequences required by the 3D printing model; s6, generating a corresponding 2D image for each
visual angle parameter in the sequence; and S7, outputting a 3D printing model. The method is realized through a two-stage method: firstly, generating a multi-view image with
geometric consistency through an injection
view angle condition; and then introducing
ray confidence regularization loss in three-dimensional reconstruction to eliminate geometric artifacts and form a clear surface boundary.