The invention discloses a multi-model collaborative high-fidelity multi-category virtual trial
system, and belongs to the technical field of
artificial intelligence and
virtual experience. The method aims at solving the problems that an existing virtual trial tool is single in function, distorted in effect and unsmooth in cross-model data interaction. The core of the scheme is as follows: trial data is received through a
data input module, a multi-model cooperative
processing module realizes data interaction in a
JSON format according to link linkage of
image editing, visual understanding, instruction optimization,
image synthesis and video generation, and
system cues drive all models to perform accurately; and the result output module displays a high-fidelity trial effect. The
system adapts to various types of e-commerce scenes such as home furnishing, clothes and
ornaments, can efficiently restore size, material and shadow details, retains non-replacement elements of an original image, effectively reduces the return rate of e-commerce, assists green low-carbon development, and improves the shopping experience of users.