公开(公告)号：US20250037333A1

公开(公告)日：2025-01-30

申请号：US18369935

申请日：2023-09-19

Applicant: Snap Inc.

Inventor： Mohammad Rami Koujan ,  Iason Kokkinos

IPC: G06T11/60 ,  G06T3/40 ,  G06T7/70 ,  G06T7/90 ,  G06V10/25

Abstract: An artificial intelligence (AI) network or neural network is trained, using a relatively small number of reference images of a target garment, to enable virtual clothing try-ons of the target garment. Example methods include determining a pose for a person depicted in an input image, determining an area of the input image to replace with a target garment, changing values of pixels within the area, and inputting the pose, the area, and a text prompt describing the target garment, into a neural network, to generate an output image, wherein the neural network is trained to generate the target garment. Example methods include training the neural network with images of clothing in a same class or category as the target garment to teach the neural network to shape the target garment in accordance with a pose of the person and to preserve other clothing and the background.

公开(公告)号：US20240161242A1

公开(公告)日：2024-05-16

申请号：US18068383

申请日：2022-12-19

Applicant: Snap Inc.

Inventor： Avihay Assouline ,  Nir Malbin ,  Iason Kokkinos ,  Riza Alp Guler ,  Himmy Tam ,  Mohammad Rami Koujan

IPC: G06T5/50 ,  G06T7/70 ,  G06V10/74 ,  G06V10/82

CPC classification number: G06T5/50 ,  G06T7/70 ,  G06V10/761 ,  G06V10/82 ,  G06T2207/20221 ,  G06T2207/30196

Abstract: Methods and systems are disclosed for transferring garments from one real-world object to another in real time using body landmarks. The system receives a first image that includes a depiction of a first person wearing a fashion item in a first pose. The system obtains a second image that includes a depiction of a second person in a second pose and generates a first set of body landmarks corresponding the first person in the first pose and a second set of body landmarks corresponding the second person wearing in the first pose. The system computes a deviation between the first set of body landmarks and the second set of body landmarks. The system generates a new image that depicts the second person wearing the fashion item worn by the first person based on the deviation between the first set of body landmarks and the second set of body landmarks.

公开(公告)号：US20240127563A1

公开(公告)日：2024-04-18

申请号：US17967230

申请日：2022-10-17

Applicant: Snap Inc.

Inventor： Mohammad Rami Koujan ,  Iason Kokkinos

IPC: G06T19/20 ,  G06T7/11 ,  G06T17/20

CPC classification number: G06T19/20 ,  G06T7/11 ,  G06T17/20 ,  G06T2200/24 ,  G06T2207/10016 ,  G06T2207/20021 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30196 ,  G06T2219/024 ,  G06T2219/2024

Abstract: Methods and systems are disclosed for performing real-time stylizing operations. The system receives an image that includes a depiction of a whole body of a real-world person. The system applies a machine learning model to the image to generate a stylized version of the whole body of the real-world person corresponding to a given style, the machine learning model being trained using training data to establish a relationship between a plurality of training images depicting synthetically rendered whole bodies of persons and corresponding ground-truth stylized versions of the whole bodies of the persons of the given style. The system replaces the depiction of the whole body of the real-world person in the image with the generated stylized version of the whole body of the real-world person.