ATTRIBUTING GENERATED VISUAL CONTENT TO TRAINING EXAMPLES

    公开(公告)号:US20240104697A1

    公开(公告)日:2024-03-28

    申请号:US18531608

    申请日:2023-12-06

    摘要: Systems, methods and non-transitory computer readable media for attributing generated visual content to training examples are provided. A first visual content generated using a generative model may be received. The generative model may be associated with a plurality of training examples. Each training example may be associated with a visual content. Properties of the first visual content may be determined. Each visual content associated with a training example may be analyzed to determine properties of the visual content. The properties of the first visual content and the properties of the visual contents associated with the plurality of training examples may be used to attribute the first visual content to a subgroup of the plurality of training examples. The visual contents associated with the training examples of the subgroup may be associated with a source. A data-record associated with the source may be updated based on the attribution.

    IDENTIFYING VISUAL CONTENTS USED FOR TRAINING OF INFERENCE MODELS

    公开(公告)号:US20230154153A1

    公开(公告)日:2023-05-18

    申请号:US17986378

    申请日:2022-11-14

    IPC分类号: G06V10/764

    CPC分类号: G06V10/764

    摘要: Systems, methods and non-transitory computer readable media for identifying visual contents used for training of inference models are provided. A specific visual content may be received. Data based on at least one parameter of an inference model may be received. The inference model may be a result of training a machine learning algorithm using a plurality of training examples. Each training example of the plurality of training examples may include a visual content. The data and the specific visual content may be analyzed to determine a likelihood that the specific visual content is included in at least one training example of the plurality of training examples. A digital signal indicative of the likelihood that the specific visual content is included in at least one training example of the plurality of training examples may be generated.

    VISUAL CONTENT OPTIMIZATION
    3.
    发明申请

    公开(公告)号:US20220156991A1

    公开(公告)日:2022-05-19

    申请号:US17519500

    申请日:2021-11-04

    IPC分类号: G06T11/40 G06Q30/02 G06N3/04

    摘要: Systems, methods and non-transitory computer readable media for optimizing visual contents are provided. A particular mathematical object corresponding to a particular visual content in a mathematical space including a plurality of mathematical objects corresponding to visual contents may be determined. The mathematical space and the particular mathematical object may be used to obtain first and second mathematical objects of the plurality of mathematical objects. The visual content corresponding to the first mathematical object may be used in a communication with a first user and the visual content corresponding to the second mathematical object may be used in a communication with a second user. Indications of the reactions of the first and second users to the communications may be received. A third visual content may be obtained based on the reactions. The third visual content may be used in a communication with a third user.

    GENERATING LOOPED VIDEO CLIPS
    4.
    发明申请

    公开(公告)号:US20220156317A1

    公开(公告)日:2022-05-19

    申请号:US17519366

    申请日:2021-11-04

    摘要: Systems, methods and non-transitory computer readable media for generating looped video clips are provided. A still image may be received. The still image may be analyzed to generate a series of images. The series of images may include at least first, middle and last images. The first image may be substantially visually similar to the last image, and the middle image may be visually different from the first and last images. The series of images may be provided. Playing the series of images in a video clip that starts with the first image and finishes with the last image, and repeating the video clip from the first image immediately after completing the playing of the video clip with the last image may create visually smooth transaction in which the transition from the last image to the first image is visually indistinguishable from the transactions between frames within the video clip.

    PROMPT BASED BACKGROUND REPLACEMENT
    5.
    发明公开

    公开(公告)号:US20240275912A1

    公开(公告)日:2024-08-15

    申请号:US18387671

    申请日:2023-11-07

    IPC分类号: H04N5/272 G06T7/194 G06T7/70

    摘要: Systems, methods and non-transitory computer readable media for prompt based background replacement are provided. A visual content including a background portion and at least one foreground object may be accessed. Further, a textual input indicative of a desire of an individual to modify the visual content may be received. The textual input and the visual content may be analyzed to generate a modified version of the visual content. The modified version may differ from the visual content in the background portion. Further, the modified version may include a depiction of the at least one foreground object substantially identical to a depiction of the at least one foreground object in the visual content. Further, a presentation of the modified version of the visual content to the individual may be caused.

    GENERATING CONTENT USING A GENERATIVE MODEL WITHOUT RELYING ON SELECTED TRAINING EXAMPLES

    公开(公告)号:US20240273866A1

    公开(公告)日:2024-08-15

    申请号:US18387701

    申请日:2023-11-07

    IPC分类号: G06V10/764 G06V10/774

    CPC分类号: G06V10/764 G06V10/774

    摘要: Systems, methods and non-transitory computer readable media for generating content using a generative model without relying on selected training examples are provided. An input indicative of a desire to generate a new content using a generative model may be received. The generative model may be a result of training a machine learning model using a plurality of training examples. Each training example of the plurality of training examples may be associated with a respective content. Further, an indication of a particular subgroup of at least one but not all of the plurality of training examples may be obtained. Based on the indication, the input and the generative model may be used to generate the new content, abstaining from basing the generation of the new content on any training example included in the particular subgroup. The new content may be provided.

    PROVIDING DIVERSE VISUAL CONTENTS BASED ON PROMPTS

    公开(公告)号:US20240273782A1

    公开(公告)日:2024-08-15

    申请号:US18387663

    申请日:2023-11-07

    IPC分类号: G06T11/00 G06F40/279

    CPC分类号: G06T11/001 G06F40/279

    摘要: Systems, methods and non-transitory computer readable media for providing diverse visual contents based on prompts are provided. A textual input in a natural language indicative of a desire of an individual to receive at least one visual content of an inanimate object of a particular category may be received. Further, a demographic requirement may be obtained. For example, the textual input may be analyzed to determine a demographic requirement. Further, a visual content may be obtained based on the demographic requirement and the textual input. The visual content may include a depiction of at least one inanimate object of the particular category and a depiction of one or more persons matching the demographic requirement. Further, a presentation of the visual content to the individual may be caused.

    TRANSFORMING NON-REALISTIC TO REALISTIC VIRTUAL ENVIRONMENTS

    公开(公告)号:US20230154064A1

    公开(公告)日:2023-05-18

    申请号:US17986399

    申请日:2022-11-14

    IPC分类号: G06T11/00 G06K9/62 G06T3/40

    摘要: Systems, methods and non-transitory computer readable media for transforming non-realistic virtual environments to realistic virtual environments are provided. First digital signals representing virtual content in an extended reality environment may be received. The first digital signals may be used to identify a non-realistic portion of the virtual content. A generative model may be used to analyze the first digital signals to generate a realistic version of the identified non-realistic portion of the virtual content. Second digital signals configured to cause a wearable extended reality appliance to present the generated realistic version instead of the identified non-realistic portion of the virtual content in the extended reality environment may be generated.