公开(公告)号：US20240355063A1

公开(公告)日：2024-10-24

申请号：US18304078

申请日：2023-04-20

Applicant: Snap Inc.

Inventor： Zhenpeng Zhou ,  Patrick Poirson ,  Maksim Gusarov ,  Chen Wang ,  Oleg Tovstyi

IPC: G06T19/00 ,  G06T1/00 ,  G06V10/74 ,  H04N5/262

CPC classification number: G06T19/006 ,  G06T1/0021 ,  G06V10/761 ,  H04N5/2621

Abstract: An input video item that includes a target visual augmentation is accessed. A machine learning model uses the input video item to generate an embedding. The embedding may comprise a vector representation of a visual effect of the target visual augmentation. The machine learning model is trained, in an unsupervised training phase, to minimize loss between training video representations generated within each of a plurality of training sets. Each training set comprises a plurality of different training video items that each include a predefined visual augmentation. Based on the generation of the embedding of the input video item, the target visual augmentation is mapped to an augmentation identifier.