公开(公告)号：US20250078392A1

公开(公告)日：2025-03-06

申请号：US18238780

申请日：2023-08-28

Applicant: Lemon Inc.

Inventor： Yichun SHI ,  Peng WANG ,  Jianglong YE ,  Long MAI ,  Xiao YANG ,  Xiaohui SHEN

IPC: G06T15/20 ,  G06N3/0455 ,  G06N3/096

Abstract: An image generation system is described. The system comprises a neural network model configured to perform a diffusion process to generate a set of multi-view images from a same input prompt. The set of multi-view images have a same subject from different view orientation. The neural network model comprises a self-attention layer configured to relate pixels across the set of multi-view images.

公开(公告)号：US20250061641A1

公开(公告)日：2025-02-20

申请号：US18723339

申请日：2022-12-14

Applicant: Lemon Inc.

Inventor： Yizhe ZHU ,  Bingchen LIU ,  Chunpong LAI ,  Xiao YANG ,  Xiaohui SHEN

IPC: G06T15/04 ,  G06T7/11 ,  G06T7/73 ,  G06T11/00 ,  G06V10/77 ,  G06V10/80 ,  G06V40/16

Abstract: The present disclosure provides a method of generating an image with metallic texture, and a method of training a metallic texture image generation model. The method of generating an image with metallic texture includes: acquiring a first video; and inputting the first video into a pre-trained metallic texture image generation model to obtain a second video. Each frame of images in the second video is an image with metallic texture. The metallic texture image generation model is trained based on a plurality of first sample images and second sample images with metallic texture corresponding to each first sample image.

公开(公告)号：US20250054271A1

公开(公告)日：2025-02-13

申请号：US18723150

申请日：2022-12-22

Applicant: Lemon Inc.

Inventor： Yichun SHI ,  Xiao YANG ,  Xiaohui SHEN

IPC: G06V10/44 ,  G06T3/4007 ,  G06V10/74

Abstract: The present disclosure provides a video generation method and device. The video generation method includes: extracting a first image feature from a first image; obtaining a plurality of intermediate image features by means of nonlinear interpolation according to the first image feature and a second image feature, wherein the second image feature is an image feature of a second image; and performing image reconstruction by means of an image generation model based on the first image feature, the second image feature, and the plurality of intermediate image features, so as to generate a target video, wherein the target video is used for presenting a process of a gradual change from the first image to the second image.

公开(公告)号：US20240282016A1

公开(公告)日：2024-08-22

申请号：US18172192

申请日：2023-02-21

Applicant: Lemon Inc.

Inventor： Bingchen LIU ,  Qing YAN ,  Yizhe ZHU ,  Xiao YANG

IPC: G06T11/00 ,  G06F3/14 ,  G06Q50/00 ,  G06T3/60 ,  G06V10/70 ,  G06V40/16

CPC classification number: G06T11/00 ,  G06F3/14 ,  G06Q50/01 ,  G06T3/60 ,  G06V10/70 ,  G06V40/161 ,  G06V40/171

Abstract: The present disclosure provides systems and methods for generating a synthesized image of a user with a trained machine learning diffusion model. In one example, a computing system includes one or more processors configured to execute instructions stored in memory to execute a trained machine learning diffusion model including an image encoder, a text encoder, and a diffusion model. The image encoder is configured to receive an image of a user and generate a set of embeddings that semantically describe visual features of the user based at least on the image of the user. The text encoder is configured to receive the set of embeddings and generate an input feature vector based at least on the set of embeddings. The diffusion model is configured to receive the input feature vector and generate a synthesized image of the user based at least on the input feature vector.