公开(公告)号：US20250111628A1

公开(公告)日：2025-04-03

申请号：US18375332

申请日：2023-09-29

Applicant: Snap Inc.

Inventor： Songfang Han ,  Sergei Korolev ,  Hsin-Ying Lee ,  Aleksei Stoliar

IPC: G06T19/20 ,  G06T7/90

Abstract: An artificial intelligence (AI) network or neural network is trained to generate three-dimensional (3D) models or shapes with color from two-dimensional (2D) input images and input text describing the 3D model with color. Example methods include converting a first three-dimensional (3D) model from a first representation to a second representation, the second representation including color information for the 3D model and inputting the second representation into an encoder to generate a third representation having a lower dimension than the second representation. The method further includes inputting the third representation into a decoder to generate a fourth representation having a same dimension as the second representation and generating a second 3D model from the fourth representation. The method further includes determining losses between the first 3D model and the second 3D model and updating weights of the encoder and the decoder based on the losses.