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：US20250067917A1

公开(公告)日：2025-02-27

申请号：US18813829

申请日：2024-08-23

Applicant: Beijing Zitiao Network Technology Co., Ltd. ,  Lemon Inc.

Inventor： Shaopeng ZHU ,  Xin LI ,  Ziyang ZHANG ,  Zhao ZHANG ,  Yan ZHOU ,  Xuan ZHONG

IPC: G02B5/30 ,  H04N23/20

Abstract: A filter structure for an infrared camera, the infrared camera and virtual reality device are disclosed. An embodiment of the filter structure includes at least one film, the at least one film includes at least one dichroic dye, the at least one dichroic dye is configured to absorb visible light, and molecular orientation of the dichroic dye of the at least one film includes at least two target directions, and any two directions of the at least two target directions are not parallel.

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：US20250061339A1

公开(公告)日：2025-02-20

申请号：US18936628

申请日：2024-11-04

Applicant: Lemon Inc.

Inventor： Andrew Estornell ,  Jean-Francois Ton ,  Yuanshun Yao ,  Yang Liu

IPC: G06N3/092 ,  G06F40/40

Abstract: Embodiments of the present disclosure provide a solution for model training. A method comprises: performing training of a critic model and training of an actor model according to an alternating scheme. The actor model is configured to generate a response for an input question based on a feedback generated by the critic model, and the critic model is configured to generate a feedback to a response generated by the actor mode.

公开(公告)号：US12231563B2

公开(公告)日：2025-02-18

申请号：US18297339

申请日：2023-04-07

Applicant: Lemon Inc.

Inventor： Haohao Qian ,  Jian Du ,  Qiang Yan

IPC: H04L9/30 ,  G06F16/2455 ,  G06F16/25

Abstract: Methods and systems for secure computation and communication are provided. The method includes transforming identifications of a first dataset using a first transforming scheme, and transforming attributes of the first dataset using a second transforming scheme. The method also includes dispatching the transformed first dataset, receiving a second dataset, transforming identifications of the received second dataset, dispatching the identifications of the transformed received second dataset, and receiving a set of identifications. The method further includes generating a first intersection of the received set of identifications and the transformed received second dataset, generating a first share based on the first intersection, receiving a second share, and constructing a result based on the first share and the second share.

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：US20250053390A1

公开(公告)日：2025-02-13

申请号：US18447734

申请日：2023-08-10

Applicant: Lemon Inc.

Inventor： Lakshminarayanan VIJAYARAGHAVAN

IPC: G06F8/35

Abstract: Described are examples for creating elements in an effect creation tool, including receiving, via a user interface provided for the effect creation tool, a natural language string requesting creation of an element in the effect creation tool, providing, to a model, an input including at least a portion of the natural language string, receiving, from the model and based on the input, an output string, in an expected syntax, corresponding to creating the element, mapping the output string to one or more commands of a format for creating the element in the effect creation tool, and providing the one or more commands to the effect creation tool to cause creation of the element in the effect creation tool.

公开(公告)号：US20250046054A1

公开(公告)日：2025-02-06

申请号：US18717239

申请日：2023-03-17

Applicant: Beijing Bytedance Network Technology Co., Ltd. ,  Lemon Inc.

Inventor： Chong WANG ,  Lin ZHENG

IPC: G06V10/48 ,  G06F17/18

Abstract: The disclosure relates to a method, an apparatus, a storage medium, an electronic device, a computer program product, and a computer program for feature extraction, device. The method includes: determining target data for a feature to be extracted, and determining, based on the target data, a plurality of query vectors, a plurality of key vectors, and a plurality of value vectors; determining a plurality of key-value pair information corresponding to each of the query vectors; and performing, for each of the query vectors, a random mapping based on the query vector and the plurality of data samples, to obtain a plurality of random query vectors, and determining feature information corresponding to the query vector based on the plurality of random query vectors and the plurality of key-value pair information.

公开(公告)号：US20250045929A1

公开(公告)日：2025-02-06

申请号：US18365060

申请日：2023-08-03

Applicant: Lemon Inc.

Inventor： Qihang Yu ,  Ju He ,  Xueqing Deng ,  Xiaohui Shen ,  Liang-Chieh Chen

IPC: G06T7/12 ,  G06T3/40 ,  G06V10/44 ,  G06V10/764 ,  G06V10/771

Abstract: Single-stage frameworks for open-vocabulary panoptic segmentation are provided. One aspect provides a computing system comprising a processor and memory storing instructions that, when executed by the processor, cause the processor to: receive an image; extract a plurality of feature maps from the image using a convolutional neural network-based vision-language model; generate a plurality of pixel features from the plurality of feature maps; generate a plurality of mask predictions from the plurality of pixel features; generate a plurality of in-vocabulary class predictions corresponding to the plurality of mask predictions using the plurality of pixel features; generate a plurality of out-of-vocabulary class predictions using the plurality of feature maps; perform geometric ensembling on the plurality of in-vocabulary class predictions and the plurality of out-of-vocabulary class predictions to generate a plurality of final class predictions; and output the plurality of mask predictions and the plurality of final class predictions.

公开(公告)号：US20250037806A1

公开(公告)日：2025-01-30

申请号：US18717362

申请日：2023-04-20

Applicant: Beijing Bytedance Network Technology Co., Ltd. ,  Lemon Inc.

Inventor： Xiang GAO ,  Weihao GAO ,  Wenzhi XIAO ,  Zhirui WANG ,  Liang XIANG ,  Chong WANG

IPC: G16C20/70

Abstract: According to implementations of the present disclosure, a method, apparatus, device and medium for managing molecular prediction is provided. In the method, an upstream model is obtained from a portion of network layers in a pretrained model, the pretrained model describing an association between a molecular structure and molecular energy. A downstream model is determined based on a molecular prediction purpose, and an output layer of the downstream model is determined based on the molecular prediction purpose. A molecular prediction model is generated based on the upstream model and the downstream model, the molecular prediction model describing an association between a molecular structure and a molecular prediction purpose associated with the molecular structure. Since the upstream model may have extensive knowledge related to molecules, the amount of training data required to train the molecular prediction model that is generated based on the upstream model and the downstream model may be reduced.