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公开(公告)号:US12154200B2
公开(公告)日:2024-11-26
申请号:US17954098
申请日:2022-09-27
Applicant: Lemon Inc. , Douyin Vision Co., Ltd.
Inventor: Thomas Oefverstroem , Kin Chung Wong , Yuyang Tian , Long Jiang , Christopher Juneja
IPC: G06T11/60 , H04L51/046 , H04L51/52
Abstract: Example aspects include techniques for creating video stickers from user-generated content. These techniques may include receiving selection of a video content item previously uploaded to a SMP server application corresponding to the SMP client application, and presenting a graphical user interface (GUI) for receiving one or more derivative attributes for generating a derivative video sticker from the video content item. In addition, the techniques may include adding the derivative video sticker to a library of stickers provided by the SMP server application to a plurality of SMP client applications, and presenting the derivative video sticker within a communication interface associated with the SMP server application.
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公开(公告)号:US20230326488A1
公开(公告)日:2023-10-12
申请号:US17715645
申请日:2022-04-07
Applicant: Lemon Inc.
Inventor: Bingchen Liu , Kin Chung Wong , Blake Garrett Fuselier , Lingyiqing Zhou , Diana Lee
IPC: G11B27/031 , G06T11/60 , G06T11/00
CPC classification number: G11B27/031 , G06T2200/24 , G06T11/001 , G06T11/60
Abstract: The present disclosure describes techniques for generating content. Text may be received. The text is associated with a video to be created by at least one user. At least one image may be generated based at least in part on the text using at least one machine learning model. The video may be generated based at least in part on the at least one image. The video comprises content overlaid on the at least one image.
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公开(公告)号:US20250013788A1
公开(公告)日:2025-01-09
申请号:US18346707
申请日:2023-07-03
Applicant: Lemon Inc.
Inventor: Fan Chen , Kin Chung Wong
IPC: G06F21/62 , G06F40/40 , H04N21/472
Abstract: Examples are provided relating to implementing actions on social media network content based on natural language inputs. One aspect includes a computing system configured to implement a social media network, comprising one or more processors, and a storage device comprising instructions executable to receive a user input including a natural language description of a request for an action on a content item from a dialogue agent configured to engage in dialogue using at least a language model, and generate a prompt for the language model based at least on the user input. The instructions are further executable to input the prompt to the language model to generate output describing operations for implementing the action, call a backend service of the social media network to execute commands to implement the operations, and output a result of executing the commands.
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公开(公告)号:US20240362826A1
公开(公告)日:2024-10-31
申请号:US18355345
申请日:2023-07-19
Applicant: Lemon Inc.
Inventor: Zichun Wang , Xiaotong Ma , Kin Chung Wong , Jonathan Guzi , Jing Liu , Hao Qiu , Siqi Tan , Siyuan Chen
IPC: G06T11/00 , G06F3/0482
CPC classification number: G06T11/00 , G06F3/0482 , G06Q50/01 , G06T2200/24
Abstract: A server device provides a social media platform. The server device includes one or more processors configured to execute instructions stored in associated memory to send instructions to a client device to cause the client device to display a graphical user interface (GUI) of the social media platform, receive at least one image of a face of a user of the client device and a selection of at least one predetermined style via the GUI, using the at least one image and the at least one predetermined style as input, generate a plurality of artificial intelligence (AI) profile pictures via an AI model, and send the plurality of AI profile pictures to the client device.
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公开(公告)号:US20230377556A1
公开(公告)日:2023-11-23
申请号:US17751324
申请日:2022-05-23
Applicant: Lemon Inc.
Inventor: Zeng Dai , Chen Sun , Ari Shapiro , Kin Chung Wong , Weishan Yu , August Yadon
CPC classification number: G10L13/02 , G06T13/40 , G06T13/205
Abstract: The present disclosure describes techniques of generating voices for virtual characters. A plurality of source sounds may be received. The plurality of source sounds may correspond to a plurality of frames of a video. The video may comprise a virtual character. The plurality of source sounds may be converted into a plurality of representations in a latent space using a first model. Each representation among the plurality of representations may comprise a plurality of parameters. The plurality of parameters may correspond to a plurality of sound features. A plurality of sounds may be generated in real time for the virtual character in the video based at least in part on modifying at least one of the plurality of parameters of each representation.
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公开(公告)号:US20250014607A1
公开(公告)日:2025-01-09
申请号:US18346737
申请日:2023-07-03
Applicant: Lemon Inc.
Inventor: Fan Chen , Kin Chung Wong
IPC: G11B27/031
Abstract: Examples are provided relating to system evolving architectures for refining media content editing systems. One aspect includes a method of refining a media content editing architecture, the method comprising: editing a media content using a large language model and a back-end tool service comprising a prompt pool and a plurality of application programming interfaces corresponding to a plurality of editing tools; publishing the edited media content; storing contextual information relating to the editing of the media content; and refining the media content editing architecture using the stored contextual information.
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公开(公告)号:US12057142B2
公开(公告)日:2024-08-06
申请号:US17898669
申请日:2022-08-30
Applicant: Lemon Inc.
Inventor: Bingchen Liu , Kin Chung Wong , Blake Garrett Fuselier , Lingyiqing Zhou , Diana Lee
IPC: G11B27/031 , G06T11/00 , G06T11/60
CPC classification number: G11B27/031 , G06T11/001 , G06T11/60 , G06T2200/24
Abstract: The present disclosure describes techniques for generating visual effects based on text. The techniques comprise initiating a process of generating a visual effect in response to a selection of an interface element; generating the visual effect, wherein the generating the visual effect comprises generating a first image based on a first text input by a first user, and wherein content of the first image correlates with the first text; and causing to display the first image on a screen of a computing device.
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公开(公告)号:US20230326489A1
公开(公告)日:2023-10-12
申请号:US17898669
申请日:2022-08-30
Applicant: Lemon Inc.
Inventor: Bingchen Liu , Kin Chung Wong , Blake Garrett Fuselier , Lingyiqing Zhou , Diana Lee
IPC: G11B27/031 , G06T11/00 , G06T11/60
CPC classification number: G11B27/031 , G06T2200/24 , G06T11/60 , G06T11/001
Abstract: The present disclosure describes techniques for generating visual effects based on text. The techniques comprise initiating a process of generating a visual effect in response to a selection of an interface element; generating the visual effect, wherein the generating the visual effect comprises generating a first image based on a first text input by a first user, and wherein content of the first image correlates with the first text; and causing to display the first image on a screen of a computing device.
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公开(公告)号:US20250014606A1
公开(公告)日:2025-01-09
申请号:US18346695
申请日:2023-07-03
Applicant: Lemon Inc.
Inventor: Kin Chung Wong , Fan Chen , Xiu Pei , Yujie Li , Cheng Li , Chenman Zhou , Siqi Tan , Longyin Wen , Xiaohui Shen
IPC: G11B27/031 , G06F40/20
Abstract: A computing system for video content creation executes a chat application to cause the processor to, in a chat conversation with a user in real-time, receive communication including a command from the user for interacting with a video content, use the large language model to analyze the command and generate a natural language response and a recommended action to implement on the video content based at least on the analyzed command, and implement the recommended action on the video content based at least on the analyzed command.
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公开(公告)号:US20250014605A1
公开(公告)日:2025-01-09
申请号:US18346727
申请日:2023-07-03
Applicant: Lemon Inc.
Inventor: Fan Chen , Kin Chung Wong
IPC: G11B27/02 , G06F16/332 , G06F40/35
Abstract: Examples are provided relating to media content editing architectures utilizing machine learning techniques. One aspect includes a method for media content editing, the method comprising: receiving a media content from a user; receiving an editing request for the media content from the user; and editing the media content based on the editing request to generate edited media content by: retrieving a prompt from a prompt pool, wherein the retrieved prompt is selected based on the editing request; parsing the retrieved prompt and the editing request using a large language model to generate one or more editing actions to be performed on the media content; and performing the one or more editing actions on the media content to generate the edited media content.
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