Invention Grant
- Patent Title: Real-time machine learning based in-painting
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Application No.: US17937734Application Date: 2022-10-03
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Publication No.: US12131448B2Publication Date: 2024-10-29
- Inventor: Gal Dudovitch , Peleg Harel , Ma'ayan Mishin Shuvi , Gal Sasson , Matan Zohar
- Applicant: Snap Inc.
- Applicant Address: US CA Santa Monica
- Assignee: Snap Inc.
- Current Assignee: Snap Inc.
- Current Assignee Address: US CA Santa Monica
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06T5/77
- IPC: G06T5/77 ; G06T5/50 ; G06T7/11 ; G06T7/20 ; G06T11/00

Abstract:
Aspects of the present disclosure involve a system for performing real-time in-painting using machine learning techniques. The system receives a video that includes a depiction of a real-world object in a real-world environment. The system accesses a segmentation associated with the real-world object and removes a depiction of the real-world object from a region of a first frame of the video. The system processes, by a machine learning model, the first frame and one or more previous frames of the video that precede the first frame to generate a new frame in which portions of the first frame have been blended into the region from which the depiction of the real-world object has been removed.
Public/Granted literature
- US20240112314A1 REAL-TIME MACHINE LEARNING BASED IN-PAINTING Public/Granted day:2024-04-04
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