Invention Grant
- Patent Title: Generating three-dimensional object models from two-dimensional images
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Application No.: US17760424Application Date: 2020-02-17
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Publication No.: US12340467B2Publication Date: 2025-06-24
- Inventor: Dominik Kulon , Riza Alp Guler , Iason Kokkinos , Stefanos Zafeiriou
- 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.
- International Application: PCT/GB2020/050371 WO 20200217
- International Announcement: WO2021/165628 WO 20210826
- Main IPC: G06T17/20
- IPC: G06T17/20 ; G06T3/40 ; G06T7/00

Abstract:
This specification discloses methods and systems for generating three-dimensional models of deformable objects from two-dimensional images. According to one aspect of this disclosure, there is described a computer implemented method for generating a three dimensional model of deformable object from a two-dimensional image. The method comprises: receiving, as input to an embedding neural network, the two-dimensional image, wherein the two dimensional image comprises an image of an object; generating, using the embedding neural network, an embedded representation of a two-dimensional image; inputting the embedded representation into a learned decoder model; and generating, using the learned decoder model, parameters of the three dimensional model of the object from the embedded representation.
Public/Granted literature
- US20230070008A1 GENERATING THREE-DIMENSIONAL OBJECT MODELS FROM TWO-DIMENSIONAL IMAGES Public/Granted day:2023-03-09
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