Invention Grant
- Patent Title: Image generation using surface-based neural synthesis
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Application No.: US16949773Application Date: 2020-11-13
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Publication No.: US11430247B2Publication Date: 2022-08-30
- Inventor: Iason Kokkinos , Georgios Papandreou , Riza Alp Guler
- 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: G06V40/10
- IPC: G06V40/10 ; G06F17/18 ; G06K9/62 ; G06T5/50 ; G06V20/64

Abstract:
Aspects of the present disclosure involve a system and a method for performing operations comprising: receiving a two-dimensional continuous surface representation of a three-dimensional object, the continuous surface comprising a plurality of landmark locations; determining a first set of soft membership functions based on a relative location of points in the two-dimensional continuous surface representation and the landmark locations; receiving a two-dimensional input image, the input image comprising an image of the object; extracting a plurality of features from the input image using a feature recognition model; generating an encoded feature representation of the extracted features using the first set of soft membership functions; generating a dense feature representation of the extracted features from the encoded representation using a second set of soft membership functions; and processing the second set of soft membership functions and dense feature representation using a neural image decoder model to generate an output image.
Public/Granted literature
- US20210150197A1 IMAGE GENERATION USING SURFACE-BASED NEURAL SYNTHESIS Public/Granted day:2021-05-20
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