Patents by Inventor Matthew Le

Matthew Le has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20260100204
    Abstract: A method to generate synchronized audio for a video includes receiving the video including a sequence of frames and receiving a text input describing at least one of a scene, an event, or a mood to be reflected in an audio track. The method also includes generating a latent audio representation via an audio generation model conditioned jointly on video embeddings associated with the sequence of frames and text embeddings associated with the text input. The method also includes decoding the latent audio representation to produce an audio track temporally aligned with the video and semantically consistent with the text input.
    Type: Application
    Filed: October 2, 2025
    Publication date: April 9, 2026
    Inventors: Zecheng He, Samaneh Azadi, Bowen Shi, Apoorv Vyas, Ann Lee, Ishan Satish Misra, Peizhao Zhang, Roshan Rajesh Sumbaly, Yaniv Nechemia Taigman, Peter Vajda, Yi-Chiao Wu, Andros Tjandra, Wei-Ning Hsu, Amit Zohar, Animesh Sinha, Yuval Kirstain, Shelly Sheynin, Adam Polyak, Matthew Le, Juefei Xu, Haoyu Ma, Tingbo Hou
  • Publication number: 20260100203
    Abstract: A method to edit a video includes receiving an input video including a sequence of frames and receiving an editing instruction expressed in natural language. The method also includes generating a multimodal condition based on the textual editing instruction and the input video. The multimodal condition may include an embedding of the input video concatenated with an embedding of the textual editing instruction. The method also includes applying, via a video editing model, the multimodal condition to modify visual content of the input video. The method further includes generating an edited video including visual modifications corresponding to the textual editing instruction. The edited video preserves temporal coherence and overall visual fidelity of the input video.
    Type: Application
    Filed: October 2, 2025
    Publication date: April 9, 2026
    Inventors: Zecheng He, Samaneh Azadi, Bowen Shi, Apoorv Vyas, Ann Lee, Ishan Satish Misra, Peizhao Zhang, Roshan Rajesh Sumbaly, Yaniv Nechemia Taigman, Peter Vajda, Yi-Chiao Wu, Andros Tjandra, Wei-Ning Hsu, Amit Zohar, Animesh Sinha, Yuval Kirstain, Shelly Sheynin, Adam Polyak, Matthew Le, Juefei Xu, Haoyu Ma, Tingbo Hou
  • Publication number: 20260101081
    Abstract: A system and method to generate a video is provided. The method may include generating, based on a user input including a description of a desired video, a structured script including one or more of scene descriptions, dialogue, or explicit shot-level information. The method also includes generating, based on the structured script, a sequence of video frames representing one or more scenes. The method further includes generating, based on the structured script and the sequence of video frames, an audio track including one or more of ambient sounds, sound effects, or music. The generated audio track being temporally synchronized with the sequence of video frames. The method also includes combining the sequence of video frames with the audio track to generate a synchronized video output representing the desired video.
    Type: Application
    Filed: October 2, 2025
    Publication date: April 9, 2026
    Inventors: Zecheng He, Samaneh Azadi, Bowen Shi, Apoorv Vyas, Ann Lee, Ishan Satish Misra, Peizhao Zhang, Roshan Rajesh Sumbaly, Yaniv Nechemia Taigman, Peter Vajda, Yi-Chiao Wu, Andros Tjandra, Wei-Ning Hsu, Amit Zohar, Animesh Sinha, Yuval Kirstain, Shelly Sheynin, Adam Polyak, Matthew Le, Juefei Xu, Haoyu Ma, Tingbo Hou
  • Publication number: 20260099978
    Abstract: A method to generate a video includes receiving an input describing a scene. The method also includes receiving a reference image depicting a character. The method further includes generating, via an encoder, embeddings of identity features of the reference image. The method also includes generating, via a video generation model, the video in which the character appears with consistent likeness across multiple frames in accordance with the embeddings and the text prompt.
    Type: Application
    Filed: October 2, 2025
    Publication date: April 9, 2026
    Inventors: Zecheng He, Samaneh Azadi, Bowen Shi, Apoorv Vyas, Ann Lee, Ishan Satish Misra, Peizhao Zhang, Roshan Rajesh Sumbaly, Yaniv Nechemia Taigman, Peter Vajda, Yi-Chiao Wu, Andros Tjandra, Wei-Ning Hsu, Amit Zohar, Animesh Sinha, Yuval Kirstain, Shelly Sheynin, Adam Polyak, Matthew Le, Juefei Xu, Haoyu Ma, Tingbo Hou