Invention Grant
- Patent Title: Deep feature generative adversarial neural networks
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Application No.: US17445362Application Date: 2021-08-18
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Publication No.: US11657479B2Publication Date: 2023-05-23
- Inventor: Sergey Demyanov , Aleksei Podkin , Aleksei Stoliar , Vadim Velicodnii , Fedor Zhdanov
- 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: G06T5/00
- IPC: G06T5/00 ; G06T5/10 ; H04L51/10

Abstract:
A mobile device can implement a neural network-based domain transfer scheme to modify an image in a first domain appearance to a second domain appearance. The domain transfer scheme can be configured to detect an object in the image, apply an effect to the image, and blend the image using color space adjustments and blending schemes to generate a realistic result image. The domain transfer scheme can further be configured to efficiently execute on the constrained device by removing operational layers based on resources available on the mobile device.
Public/Granted literature
- US20210383509A1 DEEP FEATURE GENERATIVE ADVERSARIAL NEURAL NETWORKS Public/Granted day:2021-12-09
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